Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Umeå University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Mälardalen University
- Nature Careers
- Blekinge Institute of Technology
- Jönköping University
- University of Lund
- Uppsala University
- 2 more »
- « less
-
Field
-
diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
-
for instance to socio-technological networks. The Division of Automatic Control has a strong commitment to WASP (Wallenberg AI, Autonomous Systems and Software Program) . This recruitment is potentially eligible
-
. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP
-
other and serves as a meeting place and support network for the students. Qualifications: The appointed doctoral student shall have a Master degree in Engineering or equivalent. The applicant must be
-
Realities Research Theme C: Visual Analytics for Intelligent Realities Research Theme D: Adaptive and Distributed AI for Intelligent Realities Research Theme E: Networking for Intelligent Realities
-
networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
-
-materials.org/research-school/ , an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students
-
AI, Autonomous Systems and Software Program (WASP). As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include
-
Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
-
Networks. The project encompasses several challenges in the gene regulatory network (GRN) field, from simulating realistic networks and data to accurate inference of GRNs from noisy gene expression data