Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Uppsala universitet
- Umeå University
- Linköping University
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Linköpings universitet
- Luleå tekniska universitet
- Mälardalen University
- Umeå universitet
- University of Gothenburg
- Högskolan Väst
- Luleå University of Technology
- Lund University
- chalmers tekniska högskola
- Chalmers
- Chalmers Tekniska Högskola
- Chalmers te
- Chalmers tekniska högskola AB
- Chalmers telniska högskola AB
- Göteborgs universitet
- Karlstads universitet
- Karolinska Institutet
- Linköping university
- Linköpings University
- Linnaeus University
- Linneuniversitetet
- Mälardalens universitet
- Sveriges Lantrbruksuniversitet
- 29 more »
- « less
-
Field
-
of >10 members, including a full-time senior PhD statistician and both clinical and full-time postdocs. Our projects typically leverage large sets of either registry-based, biomarker, genetic and/or
-
: https://www.umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is
-
crystallographic data. The project focuses on implementing different data processing and analysis methods relevant to time-resolved crystallography. This will involve working with automatic data processing pipelines
-
, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies in environmental science, quaternary
-
for carrying out research in the Chinmay Dwibedi lab (www.dwibedilab.org ) in close collaboration with local and international experts. Specifically, you will employ Bioinformatic and statistical methods
-
principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
-
-based detection in order to achieve the highest possible sensitivity in the brain-to-blood clearance assay. This is a new method, developed at a theoretical level specifically for this consortium, and our
-
. Optimizing knowledge of treatment effects: Using causal inference methods to rigorously assess the safety and effectiveness of medications in real-world patient populations. Defining individualized treatment
-
spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
-
dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including