Sort by
Refine Your Search
-
part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
-
application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
-
of high international standing. At undergraduate level the department is responsible for most of the medical program, the speech and language pathology program and the biomedical program. For more
-
. 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
-
English. Your workplace Linköping University is one of the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP and ELLIIT and you will have
-
with the supervisor and within the framework of the subproject. The obligations of the appointed PhD candidate include writing academic texts in English, and the selected candidate is expected to work
-
mathematical maturity and programming skills, and very good English skills, both orally and in writing. We also look for ability to work independently and to formulate and address technical and scientific
-
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
-
sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School https://wise
-
for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm development. Basic familiarity with experimental