Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Karolinska Institutet
- Swedish University of Agricultural Sciences
- Linköping University
- Lulea University of Technology
- University of Lund
- Uppsala universitet
- Mälardalen University
- Lunds universitet
- Nature Careers
- Sveriges lantbruksuniversitet
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Jönköping University
- Umeå universitet
- Blekinge Institute of Technology
- KTH Royal Institute of Technology
- Karlstad University
- University of Borås
- 11 more »
- « less
-
Field
-
real-world impact. We work across domains such as healthcare, automotive, and manufacturing, using multimodal data and foundation models. The team includes PhD students, postdocs, and industry
-
The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily
-
based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
-
of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
-
will perform computational modeling of perceived safety and comfort zone boundaries based on in-project data collection from drivers. The modeling will be both rule- and machine-learning/AI based
-
hampers our ability to establish causal relations between molecular alterations and disease phenotypes. In this PhD you will address this by developing a deep learning model of cancer. The PhD position
-
We are looking for a PhD candidate fascinated by the response of sensitive clays, such as quick clays that can change from solid to liquid with small environmental perturbations. We want to be able
-
description We are seeking a PhD student to join our research team specializing in the analysis and modeling of multiphase flows. The research focuses on developing a fundamental understanding and numerical
-
Description PhD student in Modelling carbon and greenhouse gas fluxes in lakes Are you interested in working on modelling carbon and greenhouse gas fluxes in lakes, with the support of competent and friendly
-
realistic surface models, for example by including magnetic and atomistic reconstructions, to improve interpretations of surface-sensitive experiments. As a PhD student in this role, you will focus