Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- Mälardalen University
- Linnaeus University
- Lulea University of Technology
- Blekinge Institute of Technology
- Jönköping University
- ;
- Karlstad University
- NORDITA-Nordic Institute for Theoretical Physics
- University of Borås
- Örebro University
- 7 more »
- « less
-
Field
-
We have an exciting position for a curious post-doctoral researcher with expertise in community dynamics modelling, to contribute to our research on the effects of climate warming on aquatic food
-
that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
-
qualitative approaches like interviews and workshops, and experimental work involving the development and evaluation of prototype systems. The current position has been planned for modelling sustainability and
-
, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
. The research school for stress response modelling in IceLab Starting in the spring of 2025, Umeå University’s interdisciplinary research hub, IceLab, will offer doctoral positions through the new Stress Response
-
of quick clays. A novel combination of miniaturised thermal-hydro-mechanical experiments and particle level modelling will be pursued to unravel the unique mechanisms that make quick clays so hazardous and
-
developing complete models. Example applications include models for predicting material structure and properties, neural networks replacing quantum chemistry with knowledge-based approaches, improved materials
-
developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic simulation of biological macromolecules, genomics data, and
-
and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting