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Computer networks and e-technologies (4+1)

Computer networks and e-technologies (4+1)

1. General information 
 
The goal of the computer networks and e-technologies master studies is to provide top quality European education and training for ICT engineers. The studies offer deeper and specialized knowledge about computer networks and e-technologies. Upon completion of this master study programme the ICT engineers are expected to take up responsible higher level positions in the business and engineering processes of planning, design, managing and monitoring of computer networks. They are also expected to be able to efficiently and effectively employ various state of the art e-technologies and fully understand their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Computer networks and e-technologies master studies
  • Scientific-research field: Engineering and Technology
  • Category: Electrical engineering, Electronic engineering, Information engineering
  • Sub-category: Communication engineering and systems
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of computer science and engineering in the field of computer networks and e-technologies
 
2. Studies
 
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS
 1   Academian prof. Ljupco Kocarev

 Modern network analysis methods

IX

 6
 2  assoc. prof. Dimitar Trajanov  E-business IX 6
 3  

 Mandatory general-education course

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assist. prof. Sonja Filiposka  Next generation networks X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 

Computer Sciences (3+1+1)

Computer Sciences (3+1+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters.
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
2.  Introductory courses
 
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
 
Table 1: List of introductory courses
 

Course

Semester

ECTS

Prerequisite
 1

 Probability and statistics

VII

 6 Calculus 2 (Mathematics 2)
 2  Calculus 3 VII 6 Calculus 2
 3

 Databases 2

VII

6

Databases
 4  Elective course 1  VII  6  
 5  Elective course 2  VII  6  
 6

 Discreet structures 3

VIII

6

Discreet strucutres 1
 7

 Information systems

VIII

6

Software engineering, Databases
 8  Algorithms VIII  6 Object oriented and visual programming
 9  Elective course 3 VIII 6  
 10  Elective course from University list of available courses VIII 6  
 
Table 2: List of elective introductory courses
 

Course

Semester

ECTS

Prerequisite
 1

 Modeling and simulation with visualization

VII

 6 Object oriented and visual programming, Probability and statistics or Statistics
 2  Formal languages and automata VII 6 Discreet structures 2
 3

 Operations research

VIII

6

Probability and statistics or Statistics
 4

 Analyses and logical design of IS

VIII

6

Information sytems
 5

 Compilers

VIII

6

Discreet structures 3, Microprocessors and microcontrollers
 6  Discreet structures 2 VIII  6  Discreet structures 1
 7  Software engineering VIII 6  Object oriented and visual programming
 
2.2 Studies
 
Courses for the Master studies for the study programme Computer sciences can be found at this link. 

Bioinformatics (4+1)

1. General Information

Postgraduate studies in Bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analyzing, indexing, searching and using data from biological databases, as well as modeling events and processes that occur at the level cell, organ or organism, including the latest developments in the fields of databases, molecular biology, genetics, machine learning and data science.

 

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Second cycle academic studies in Bioinformatics
  • Scientific-research area: technical-technological / natural mathematical
  • Field: Computer Science and Informatics / Informatics
  • Areas: Artificial Intelligence, Intelligent Systems, Programming Languages ​​and Systems, Databases, Numerical Analysis, Algorithms, Simulation, Information Processing, Data Processing, Other .
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • In the first and the second semester, subjects are performed, while in the second semester, the final project is additionally prepared, ie. master thesis.
  • Admission Requirements : Completed undergraduate studies in Computer or Biological-Medical Sciences with a minimum of 240 or 180 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first semester of postgraduate studies.
  • First semester : 2 compulsory courses and 2 electives, one of which may be from the University list.
  • Second semester : 1 compulsory and 1 elective, one of which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and the final project - master's thesis of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained upon completion of studies is:

- Master in Information Science and Computer Engineering in Bioinformatics

 

2. Studies

Table 3: Course structure in IX and X semesters

РБ Course Semester M / E Credits
1 Introduction to Molecular Biology   IX M 6
2 Basics of Bioinformatics IX M 6
3 Selected from Table 4 IX E 6
4 Selected from Table 4 IX E 6
5 Selected from Table 4 IX E 6
6 Advanced Mathematical and Statistical Techniques X M 6
7 Selected from Table 4 X E 6
8 Master Thesis X M 18

 

Table 4 shows the elective courses from the Bioinformatics study program. In addition to these courses, the student can choose from all elective courses defined for all study programs of the second cycle that are serviced by the faculty. One elective course can be chosen from the university list of free elective courses. Table 4: Electives

 

Table 4: Electives

РБ Course Semester Credits Fund hours
1 Structural Bioinformatics and Proteomics IX 6 4 + 0 + 0 + 0
2 Scientific computing in bioinformatics IX 6 4 + 0 + 0 + 0
3 Wavelets in Numerical Simulations IX 6 4 + 0 + 0 + 0
4 Information processing in biological systems IX 6 4 + 0 + 0 + 0
5 Introduction to Computational Neuroscience IX 6 4 + 0 + 0 + 0
6 Introduction to genetic Engineering  X 6 4 + 0 + 0 + 0
7 Mathematical Biology X 6 4 + 0 + 0 + 0
8 Biological Sequence Analysis X 6 4 + 0 + 0 + 0

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Smart connected systems (4 + 1)

1. General Information

 

Postgraduate studies in smart connected systems aim to provide quality and top European education and training to ICT engineers with in-depth knowledge of smart systems connected via the Internet of Things (IoT). Upon completion of their studies, these engineers will be able to take responsible positions in the processes of planning, design, programming, management, testing and monitoring of smart IoT systems and work with various types of the latest embedded technologies, including new IoT business aspects. >

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Study Program Name: Academic Second Cycle Studies in Smart Connected Systems
  • Scientific-research area: technical-technological
  • Field: Computer Engineering & Informatics
  • Area: Information Systems and Networks
  • The value of postgraduate studies is 60 ECTS or 120 ECTS credits .
  • Duration of studies: 2 or 4 semesters .
  • One academic year consists of two semesters lasting 30 weeks (1 semester = 15 weeks).
  • The first semester consists of subjects, while the second has a smaller number of subjects and is reserved for the final project, ie. for the master's thesis.
  • Admission Requirements : Completed undergraduate studies in the field of informatics or computer technology and informatics with a minimum of 240 credits. For study directions that carry less than 240 credits, exams offered in the introductory layer are added.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the second year of postgraduate studies.
  • First semester: 3 Mandatory courses and 2 electives, one of which may be from the University list.
  • Second semester: 1 Mandatory and 1 elective, which can be from the university list (only if in the first semester the subjects are selected at the Faculty level) and a final project of 18 ECTS
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4
  • The academic title or degree obtained after graduation is

- Master in Information Science and Computer Engineering in the field of smart connected systems

 

2. Studies

Table 3: List of Postgraduate Courses

РБ Subject Semester M / E ECTS
1 Building the Internet of Things and Security IX M 6
2 Acquisition and data processing systems IX M 6
3 Smart City IX M 6
4 Elective IX E 6
5 Elective IX E 6
6 Developing IoT applications and IoT platforms X M 6
7 Elective X E 6
8 Master Thesis X M 18

 

The following table shows the electives from the study program

Table 4: Electives

РБ New code /   Subject Semester ECTS
1 PS-I-01   Data Analysis from Related Systems X 6
2 PS-I-02   Sensory data fusion IX 6
3 ПС-E-03   Smart mobility X 6
4 PS-I-04   Smart IoT Contracts IX 6
5 PS-I-05   Smart Energy Networks IX 6
6 PS-I-06   Smart and connected healthcare X 6
7 PS-I-07    IoT for Environmental Systems IX 6
8 PS-I-08   Open & Related Data X 6
9 ПС-E-09   Smart production and monitoring systems X 6
10 PS-I-01   Smart Financial Systems and Stock Exchange IX 6
11 IT-I-01   5G: Fifth Generation Wireless Mobile Systems IX 6
12 IT-I-04   E-business IX 6
13 IT-I-11  Smart Sensor Networks X 6
14 IT-I-13   Network Virtualization and Cloud Computing X 6
15 IT-I-18   Data Science IX 6
16 EС-E-21   Sensor-robotic systems X 6
17 СE-E-01   Time series analysis and forecasting  IX 6
18 EI-Z-03  Implementation of Geographic Information Systems  X 6

 

The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies. The list of offered electives can be found on this   link .

Cloud computing (4+1)

Cloud computing (4 + 1)

Postgraduate studies in cloud computing aim at top European education and training, which after graduation will be able to deliver scalable and resilient infrastructures, platforms and software, which are high quality and reliable and that meet the needs of local industry.

 

The Cloud Computing Studies program is compatible with the respective studies offered at most of the world's universities that support this current topic and enable student mobility.

  • Name of the proposer: University "Ss. Cyril and Methodius University in Skopje, Faculty of Information Sciences and Computer Engineering - FINKI
  • Name of the study program: Academic second cycle studies in Cloud Computing
  • Scientific-research area: 2 technical-technological
  • Field: 212 Computer Engineering & Informatics
  • Area: 21208 other
  • The value of postgraduate studies is 60 ECTS credits .
  • Duration of studies: 2 Semesters .
  • One academic year consists of two Semesters lasting 30 weeks (1 Semester = 15 weeks).
  • Admission Requirements : Cloud computing students can enroll in graduate students who have 240 or 180 undergraduate credits.
  • Introductory layer : Students who have earned less than 240 credits during their studies are offered a set of differential introductory courses. After their successful realization, the student acquires the right to continue with the first Semester of postgraduate studies.
  • First Semester: 2 compulsory courses, 1 elective general education course, 2 elective courses in the field, one of which can be from the list of free elective courses at UKIM.
  • Second Semester: 2 elective courses in the field, one of which can be from the list of UKIM (only if in the first Semester the courses are selected at the faculty level) and final project - master's thesis (18 ECTS)
  • 1 ECTS credit corresponds to 30 hours of total work engagement
  • The number of contact hours is 4

Acquired title:   Master of Information Science and Computer Engineering in the field of cloud computing.

2. Studies
 

Table 1: List of Postgraduate Courses

 

 

Name of the subject

Status

Semester

ECTS

1

Virtualized Data Centers 

З

winter

6

2

Scalability and multitenancy for SaaS applications 

З

winter

6

3

Elective general education subject *

И

winter

6

4

Elective

И

winter

6

5

Elective

И

winter

6

6

Elective

З

summer

6

7

Elective

И

summer

6

8

Master Thesis

З

summer

18

* Select one item from Table 2

Table 2. General education subjects  

 

Code

Name of the subject

Status

Semester

ECTS

1

СЕ-И2-08

Business modeling 

И

winter

6

2

ОО-З-01

Research Methods and Writing Techniques

И

winter

6

3

СЕ-И1-04

Privacy, ethics and social responsibilities

И

winter

6

2.1 Electives

Configure
The student can choose a subject from the list of offered elective courses from all study programs of the second cycle of studies . The list of offered elective courses can be found at   овој линк.

Intelligent Systems Engineering (4+1)

Intelligent Systems Engineering (4+1)

1. General information
The science of building artificial intelligent systems takes the central place in the engineering sciences. There are two main approaches in developing artificial intelligent systems: machines that incorporate intelligence – robots, and one that starts with biological systems and leads towards artificial being – bioinformatics and bioengineering. The Intelligent System Engineering is the place where students can understand and develop intelligent systems in solving real-life problems. 
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Intelligent Systems Engineering – bioinformatics / robotics
  • Scientific-research field: Engineering, Natural sciences and applied mathematics
  • Category: Informatics
  • Sub-category: Other
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
Degree: Master of Intelligent Systems Engineering, module Bioinformatics or Master of Intelligent Systems Engineering, module Robotics
 

2. Studies

Table 1: List of courses for master studies in Bioinformatics module.
  Professor Course

Semester

 ECTS
 1   prof. Smile Markovski, assoc. prof. Ana Madevska Bogdanova

 Computer science for Intelligent Systems

IX

 6
 2  assist. prof. Nevena Ackovska , assoc. prof. Marija Mihova  Information processing in biological systems IX 6
 3  prof. Sasho Panov  Molecular biology of the cell

IX

6
 4  

 Elective course

IX

6
 5    Elective course

IX

6
 6  assoc. prof. Ana Madevska Bogdanova, prof. Zaneta Popeska  Data mining for bioinformatics X 6
 7    Elective course X 6
 
Table 2: List of courses for master studies in Robotics module.
   Professor

Course

Semester

 ECTS
 1  prof. Smile Markoski, assoc. prof Ana Madevska Bogdanova

 Computer science for Intelligent Systems

IX

 6
 2 assist. prof. Nevena Ackovska, assoc.  prof. Marija Mihova  Information processing in biological systems IX 6
 3 assoc. prof. Andrea Kulakov, assist. prof. Nevena Ackovska

 Introduction to robotics

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  assoc. prof. Ana Madevska Bogdanova, assist. prof. Gjorgji Madzarov  Machine learning X 6
 7    Elective course X 6
 

Computer Sciences (4+1)

Computer Sciences (4+1)

1. General information
 
The Postgraduate Studies in Computer Science are committed to excellent European education. We train highly skilled professionals who will be able to meet the needs of both IT companies and leading-edge scientific research institutions in the country and abroad.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE (FINKI)
  • Study programme: Academic master studies in Computer Science
  • Scientific Research Area: Natural Sciences and Mathematics
  • Scientific-research field: Informatics
  • Category: Information systems and programming, integrated computing methods and applications, algorithms, optimization, simulation, software development and databases.
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters.
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 1 elective course (the elective course can be chosen from the courses list offered by the University)
  • Second semester: 3 elective courses (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week are 4. 
Degree: Master of computer science and engineering in the field of Computer Science 
 
2. Studies
Table 1: List of courses for master studies
  Professor

Course

Semester

 ECTS
 1   assoc. prof. Ana Madevska Bogdanova, assoc. prof. Marija Mihova, assist. prof. Anastas Mishev, assist. prof. Boro Jakimovski

 Advanced algorithms

IX

 6
 2  assist. prof. Boro Jakimovski, elect. assist. prof. Jasen Markovski  Formal methods IX 6
 3  prof. Vancho Kusakatov, prof. Margita Kon-Popovska, assist. prof. Vesna Dimitrievska Ristovska

 Optimization

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

X

6
 6    Elective course X 6
 7    Elective course X 6
 

Software Engineering (4+1)

Software Engineering (4+1)

1. General information
 
The goal of the master studies in software engineering is to provide top quality European education and training for the software engineers that will be ready to cope with the technical and economic responsibility while projecting, developing, using and maintenance of complex software systems. Upon completion of the studies, the engineers are expected to take up responsible business positions in the processes of planning, design, development and leading software projects including their business aspects.
  • Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
  • Study programme: Software engineering
  • Scientific-research field: Engineering and Technology
  • Category: Information engineering
  • Sub-category:Software engineering
  • The master studies cycle consists of 60 ECTS.
  • Study duration: 2 semesters
  • One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
  • The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
  • Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
  • Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
  • First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
  • Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only if this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
  • 1 ECTS = 30 hours of work load.
  • Contact hours per week is 4. 
 Degree: Master of computer science and engineering in the field of software engineering
 
2. Studies
 
Table 1: List of courses for master studies
   Professor

Course

Semester

 ECTS
 1   assoc. prof. Dejan Gjorgjevikj, assist. prof. Ivan Chorbev

 Advanced topics in software engineering

IX

 6
 2  assoc. prof. Dejan Gjorgjevikj, prof. Suzana Loshkovska  Software design patterns IX 6
 3  

 Mandatory general-education course

IX

6
 4  

 Elective course

IX

6
 5  

 Elective course

IX

6
 6  prof. Suzana Loshkovska, assist.  prof. Ivica Dimitrovski, assist. prof. Anastas Mishev  Softeware testing and usability X 6
 7    Elective course X 6
 General-education courses
 1    Research methods and writing techniques IX  6
 2    Project management IX  6
 
20/08/2019

The Dutch startup StoreShippers offers positions for Django backend developers. As our employee/intern you will be implementing components in real world use-case modules in the systems backend. With an accent on efficiency and smart resource utilization you will learn to write neat functional code, work in the Django web-development ecosystem and create data science ready web solutions. This produce-as-you-learn environment is ideal for kickstarting your career as a backend developer in the new age.

The candidates are expected to have:
 - Basic Python 3.6 programming skills.
 - Knowledge of SQL based databases and basic querying.
 - Understanding of REST APIs.
 - Understanding of basic authorization schemes.
 - A positive and goal oriented mindset.

Please send your CV at internships@storeshippers.com

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20/02/2023

Learn the Netcetera way of working
Our '2023 Spring Internship’ program is open for applicants, and our Senior Engineers are ready to offer their expert guidance, supervision, and leadership to the next round of interns.
Work on real projects using the latest technologies, and experience Netcetera’s culture, perks & benefits.
 

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