Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Chalmers tekniska högskola
- Linköping University
- Uppsala universitet
- Lunds universitet
- Umeå University
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Stockholms universitet
- Umeå universitet
- University of Lund
- Linköpings universitet
- Karlstad University
- Karlstads universitet
- Nature Careers
- Lulea University of Technology
- Mälardalen University
- The University of Gothenburg
- University of Gothenburg
- chalmers tekniska högskola
- Chalmers Tekniska Högskola
- Chalmers Tekniska Högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- Kungliga Tekniska högskolan
- Linkopings universitet
- Linköping university
- Linköpings University
- Luleå University of Technology
- Luleå tekniska universitet
- Malmö universitet
- School of Business, Society and Engineering
- Sveriges Lantrbruksuniversitet
- Örebro University
- 26 more »
- « less
-
Field
-
that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on machine learning, Excellent oral and written English skills, Publications in machine learning
-
++, Fortran) Background in mechanics of materials or computational modelling Experience with machine learning for physical fields/PDEs/GNNs and HPC workflows Interest in interdisciplinary collaboration and
-
, through the development of new materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet
-
processing techniques and machine learning methods to not only suppress interference but also leverage it to enhance sensor performance. The PhD student will play a key role in advancing these new radar signal
-
theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
-
materials to direct industrial projects generating new inventions. We have a strong learning commitment on all levels from undergraduate to PhD studies where physics meet engineering. The research
-
PhD with a background in science and technology studies (STS), human-robot interaction (HRI), human-computer interaction (HCI) or social sciences. The project aims to develop a Nordic Model for
-
opportunities for continuous personal development in pedagogics and opportunities to teach and administrate courses at both the bachelor and master level. Development of and participation in PhD-level courses is
-
, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
-
design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments