141 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- University of Southern Denmark
- Nature Careers
- Aarhus University
- University of Copenhagen
- Copenhagen Business School
- University of Southern Denmark;
- Aalborg Universitet
- Danmarks Tekniske Universitet
- Graduate School of Arts, Aarhus University
- Technical University Of Denmark
- 2 more »
- « less
-
Field
-
international and interdisciplinary program, MICROSUNSET brings together experts from several disciplines as supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners
-
the Data Science & Statistics section at the Department of Mathematics and Computer Science . The department offers an inclusive and international working environment with state-of-the-art facilities and
-
PhD courses. The programme is highly international, and you are expected to participate in international research conferences and to spend time at another research institution as a visiting PhD student
-
groups in light–matter interactions and nanophotonics, as well as to theoretical physicists in the Department of Mathematics and Computer Science. We collaborate closely with scientists of the ALPS II
-
repositories Produce high-level scientific publications and present findings at international conferences. Carry out teaching activities as part of the PhD program. Your competencies The ideal candidate
-
The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
-
partner universities in Denmark as well as abroad. The ideal candidate will bring to the project: MSc in Civil Engineering preferably with focus on Wind Engineering, Computational Fluid Dynamics and/or
-
of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models