Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- Lunds universitet
- Linköping University
- Uppsala universitet
- Blekinge Institute of Technology
- Umeå universitet stipendiemodul
- Jönköping University
- Lulea University of Technology
- Luleå University of Technology
- Örebro University
- Karlstad University
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Skövde
- European Magnetism Association EMA
- Göteborgs universitet
- Helmholtz-Zentrum München
- Karlstads universitet
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linköping University (LiU)
- Linköpings universitet, ITN
- Linnaeus University
- Linnéuniversitetet
- The Faculty of Technology and Society
- The University of Gothenburg
- The University of Skövde
- University of Borås
- Uppsala University
- universitypositions
- 24 more »
- « less
-
Field
-
Bioinformaticians in advanced Machine Learning and AI The Department of Biochemistry and Biophysics. SciLifeLab (SciLifeLab ) is a national center for molecular biosciences with focus on health and
-
within a Research Infrastructure? No Offer Description We are now looking for a PhD student in machine learning with a focus on generative modeling and data-centric strategies for data-efficient machine
-
/ML capabilities in Sweden. Qualifications Requirements A doctoral degree or an equivalent foreign degree in a relevant disciplin with a specialization in Artificial Intelligence (AI) and Machine
-
Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a Ph.D. student to conduct ground-breaking research using machine learning methods with the aim
-
of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware coordination of electric vehicle fleets
-
Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
-
on lth.se . Subject and project description Wireless systems are becoming an increasingly important part of our everyday life. Using Machine Learning on measured wireless propagation channels as a means to
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
Council to establish a center of excellence: Center for modeling adaptive mechanisms in living systems under stress. We are now opening a tenure-track Assistant Professor position in machine learning with
-
of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven