Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Nature Careers
- Aalborg Universitet
- DTU Electro
- Copenhagen Business School
- Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- Technical University Of Denmark
- Technical University of Denmark - DTU
- 3 more »
- « less
-
Field
-
At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
-
Seta (berse@dtu.dk ) and Professor Jon Spangenberg (josp@dtu.dk ). You can read more about Department of Civil and Mechanical Engineering at www.construct.dtu.dk . If you are applying from abroad, you
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment with be made by Professor Stefan Kragh Nielsen and an internal evaluation committee. We
-
At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the doctoral program Biotechnology, Chemistry and Environmental Engineering. The
-
scholarships in household finance will be associated with the research team headed by Associate Professor Kathrin Schlafmann. Research questions in this area include how households make housing and mortgage
-
fully funded PhD position for the duration of three years. The successful applicant will be enrolled as a PhD student at the PhD School at the Faculty of Engineering. Your Profile Candidates who have a
-
general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applications will be made by Associate Professor Gunvor M. Kirkelund and
-
Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges
-
the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience