Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Uppsala universitet
- Chalmers tekniska högskola
- SciLifeLab
- Umeå University
- Linköpings universitet
- Örebro University
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Umeå universitet
- Umeå universitet stipendiemodul
- KTH
- Stockholms universitet
- University of Borås
- chalmers tekniska högskola
- Jönköping University
- Karlstads universitet
- Kungliga Tekniska högskolan
- Lulea University of Technology
- Luleå University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- The University of Gothenburg
- University of Lund
- Chalmers Tekniska Högskola
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för akvatiska resurser
- Karolinska Institutet
- Karolinska Institutet, doctoral positions
- LInköpings universitet
- Linkopings universitet
- Linköping university
- Linköpings University
- Luleå tekniska universitet
- Malmö universitet
- NORDITA-Nordic Institute for Theoretical Physics
- Stockholm University
- Sveriges Lantrbruksuniversitet
- University of Skövde
- 34 more »
- « less
-
Field
-
conditions, and administrative and technical support, among other benefits. See more information at: https://www.umu.se/en/department-of-computing-science/. You will research in collaboration with
-
trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven
-
an interest in Bayesian statistics, applied probability theory, computational mathematics, machine learning, and generative AI, and offers the opportunity to contribute to a rapidly growing research field with
-
experimental platform and combine it with continuum modeling of complex materials and machine-learning-based analysis methods to understand and predict biofilm structure and growth. Supervision: Shervin Bagheri
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
-
research group which has a focus on machine learning methods for robotic manipulation. The project will focus on developing novel approaches that can incorporate very large scale real-world robotic
-
for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
-
Technology We invite applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp to work on the reliability and trustworthiness of machine learning models. You will work
-
and mixed-signal design, and thus broaden and strengthen our expertise in the design of electronic systems. You will also develop and teach courses in electronics design at the bachelor and master
-
Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A