Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Uppsala universitet
- Mälardalen University
- Nature Careers
- Linnaeus University
- Luleå University of Technology
- Malmö universitet
- Stockholms universitet
- Sveriges lantbruksuniversitet
- Umeå universitet
- 5 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
-
and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
-
application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
-
position for candidates interested in interpretable AI, stochastic optimal control, deep learning and high-impact research in sustainable mobility. About us The position is located at the Systems and Control
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
-
and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
-
the molecular level. While structural predictions using deep learning methods like AlphaFold have revolutionized our understanding of sequence dependent molecular structure, we currently have much more limited
-
build the sustainable companies and societies of the future. The research subject of Building Materials consists of 19 persons, including five professors and two postdoctoral researchers. The subject
-
persons, including five professors and two postdoctoral researchers. The subject focuses on the development of sustainable materials and production technologies for the construction industry as