Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Jönköping University
- KTH
- Karlstad University
- Karolinska Institutet (KI)
- Linköping University
- Linköping University (LiU)
- Linköpings universitet, ITN
- Luleå University of Technology
- Lund University
- Lunds universitet
- The Faculty of Technology and Society
- University of Borås
- Uppsala universitet
- Örebro University
- 9 more »
- « less
-
Field
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are recruiting a Research Engineer in Quantum-Inspired Machine Learning
-
are looking for a Research Assistant in Machine Learning and Multimodal Digital Biomarkers with a focus on voice biomarkers, wearable sensing technologies, and performance monitoring, at the Department
-
are now opening a tenure-track Assistant Professor position in machine learning with employment at the Department of Computing Science. The position offers an opportunity to establish your research group
-
Job related to staff position within a Research Infrastructure? No Offer Description Job description Mimer AI Factory (https://mimer-ai.eu/ ) aims to advance innovation, accelerate the adoption of AI
-
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
-
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
-
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
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
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