Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- SciLifeLab
- Linköping University
- Nature Careers
- Umeå University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- KTH
- Karolinska Institutet (KI)
- Mälardalen University
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Linköpings universitet
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- 18 more »
- « less
-
Field
-
) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
-
learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications The assessment will primarily be based on your research merits and your potential as a researcher. Particular
-
, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
-
. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create
-
of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Your work duties will
-
learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoctoral position is proposed around the following project
-
teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. The postdoc contributes to the research cluster through
-
data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
-
of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
-
Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate