Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Uppsala universitet
- University of Lund
- Karolinska Institutet (KI)
- Linköping University
- SciLifeLab
- Umeå University
- Umeå universitet stipendiemodul
- Örebro University
- Lulea University of Technology
- Nature Careers
- Linköpings universitet
- Luleå tekniska universitet
- Mälardalen University
- University of Gothenburg
- Högskolan Väst
- KTH
- Luleå University of Technology
- Lund University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- chalmers tekniska högskola
- Chalmers
- Chalmers Tekniska Högskola
- Chalmers te
- Chalmers tekniska högskola AB
- Chalmers telniska högskola AB
- Göteborg Universitet
- Göteborgs universitet
- Karlstads universitet
- Karolinska Institutet
- Linköping university
- Linköpings University
- Linneuniversitetet
- Mälardalens universitet
- Stockholm University
- Stockholms universitet
- Umeå universitet
- 31 more »
- « less
-
Field
-
. for electrification of the vehicle industry – sustainability in materials and processes is of the highest importance. Regardless of the battery chemistry understudy, a circular battery value chain relies on efficient
-
strategies: Leveraging traditional and causal machine learning approaches to determine which patients are most likely to benefit from specific therapies. Digital pathology and image-based analyses (starting
-
available via a shared digital platform. Hycogen 2 investigates how surplus heat from hydrogen production can be utilized efficiently. During electrolysis, approximately 30% of the energy is converted
-
on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
-
postdoctoral to join our group working on thermal catalytic conversion of CO₂ to solid carbon. The project aims to develop efficient and electrified processes that transform CO₂ into valuable carbon materials
-
subject area for this position is medicine, specializing in computational metabolomics and exposomics, with primary focus on processing and analysis of metabolomics and exposomics data, covering both method
-
of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
-
with us! Project description: Ability to study protein dynamics real-time is crucial for understanding biological processes at the molecular level, providing insights into protein function, interactions
-
theory and statistical signal processing, with applications in areas such as financial mathematics, environmental research and medicine. We attach great importance to a good, collegial working environment
-
, high frequency signal processing. Good communication and collaborative skills, capability to work in a team and independently. Motivation and dedication to research work is a very strong merit. Teaching