Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- SciLifeLab
- Umeå University
- Chalmers University of Technology
- Jönköping University
- Blekinge Institute of Technology
- The Faculty of Technology and Society
- KTH
- KTH Royal Institute of Technology
- Karlstad University
- Karolinska Institutet (KI)
- Linköping University (LiU)
- Luleå University of Technology
- University of Borås
- Uppsala universitet
- 5 more »
- « less
-
Field
-
opportunities and diversity as a strength and an asset. Description of the workplace The research group for associative learning conducts research in neurophysiology and neuroscience, with a particular focus on
-
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
-
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
-
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
-
development practices (e.g., XR, VR, computer graphics, and programming); and play in participatory, learning, and societal contexts (e.g., STEAM education and live-action role-playing). Link Application
-
architecture, parallel systems, programming language theory, embedded systems or software engineering. Documented ability to teach operating systems and compiler construction. Practical experience of systems
-
most is how close you stay to nature here. Read more and apply: https://www.umu.se/en/work-with-us/open-positions/assistant-professor-in-computing-science-with-a-focus-on-machine-learning---linked
-
is BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and
-
the field of Machine Elements. The main aim of this PhD student position is to strengthen the newly started research on Triboelectrictive nanogenerator (TENG)-based smart lubrication in Machine Elements