Sort by
Refine Your Search
-
Listed
-
Employer
- Lunds universitet
- Chalmers University of Technology
- University of Lund
- Uppsala universitet
- Karolinska Institutet (KI)
- SciLifeLab
- KTH Royal Institute of Technology
- Umeå University
- Jönköping University
- Mälardalen University
- Umeå universitet
- Göteborgs universitet, Department of Marine Sciences
- KTH
- Karlstads universitet
- Karolinska Institutet
- Linköping University
- Linköpings universitet
- SLU
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- 11 more »
- « less
-
Field
-
learning models to link sequence to function, supporting the design of regenerative therapies in the nervous system. The position will combine hands-on neuroscience experimental approaches with data-driven
-
., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility requirement must be met no later than the time the employment decision is made
-
novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work in the division, including 15 PhD students
-
, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
-
or relevant topics be result-oriented and have high level of motivation and will to face challenges and conduct systematic research to solve them, if necessary, by learning/adopting new techniques/theories
-
at: https://www.umu.se/en/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 models
-
-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models for complex data, including temporal data
-
hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area
-
hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. Detailed description of the work duties, such as: Research within the subject area
-
and free-energy calculations in explicit solvent. The postdoctoral researcher will employ machine-learning-accelerated methods throughout the workflow, contribute to the development of new computational