Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- University of Copenhagen
- Technical University Of Denmark
- Aalborg University
- Graduate School of Arts, Aarhus University
- Copenhagen Business School , CBS
- ; Technical University of Denmark
- Aalborg Universitet
- Aarhus University
- Copenhagen Business School
- Max Planck Society
- Roskilde University
- Technical University of Denmark;
- The University of Edinburgh
- 6 more »
- « less
-
Field
-
PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01
-
, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please read the full job advertisement by clicking the 'Apply' button Read more
-
of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
-
at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
-
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
-
: Participate in an international research exchange program (3 months to 1 year) at a partner university or research institute to gain new skills and enhance collaboration. Qualifications A master’s degree (or
-
of parasitic in electric machine Experimental Work: Develop, demonstrate and test the electric drive system International Exchange: Participate in an international research exchange program (3 months to 1 year
-
processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
-
in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
-
, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate