594 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Aarhus University
- Nature Careers
- Aalborg University
- University of Copenhagen
- Aarhus University;
- University of Southern Denmark;
- Copenhagen Business School
- Aalborg Universitet
- Technical University of Denmark;
- ;
- Danmarks Tekniske Universitet
- European Magnetism Association EMA
- Graduate School of Arts, Aarhus University
- Technical University Of Denmark
- Xi'an Jiaotong - Liverpool University
- 7 more »
- « less
-
Field
-
centers and universities and bridges plant science and computer science internally at the University of Copenhagen. Terms of salary and employment The employment and salary is made in accordance with
-
This is a full-time (37 hours/week) on-site role located in Aarhus, Denmark for a Postdoctoral Research Fellow at the Department of Computer Science, Aarhus University. This position is for 2 years
-
in research project management, and a relevant publication track record. Application deadline: March 20th, 2026 at 23.59 (CET) Place of work: Dept. of Computer Science, Aarhus University, Åbogade 34
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
stakeholders, we can offer you a position in a progressive and international environment, where we work to support High Performance Computing (HPC) in Danish research. About the job In DeiC’s HPC department, we
-
of Biological and Chemical Engineering (BCE) is looking for two dedicated mentors to help incoming international students settle into our programmes. Expected start date The position starts on 15 May 2026. It is
-
of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation