Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- SciLifeLab
- Lunds universitet
- Umeå University
- Karolinska Institutet (KI)
- Mälardalen University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- Uppsala University
- European Magnetism Association EMA
- Institutionen för biologi och miljövetenskap
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- University of Skövde
- universitypositions
- 14 more »
- « less
-
Field
-
the ‘Uppsala BioCenter’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants
-
-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
-
at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
-
disease models (e.g., AD/PD) Ability to develop independent research directions Preference will be given to applicants who have obtained their PhD degree no more than three years prior to the application
-
architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
-
information see (https://lundmark-lab.se/ ) Work responsibilities Culturing and analysing mammalian cell models for infection Designing and developing infection models of flavivirus and alphaviruses Generating
-
Subject description AI-based protein design and synthetic biology for developing programmable living materials, with a particular focus on the de novo design of proteins biofilm systems
-
feedstocks – including fibre structure, crystallinity, purity, accessibility and water retention – and relate these parameters to the suitability of the raw materials. You will plan and carry out systematic
-
contexts where multiple humans and multiple autonomous systems are involved. Runtime models (e.g., behavior trees or state machines) will be used to support adaptive coordination and increase the flexibility
-
project focuses on the design, modeling, control, and management of microgrids for AI data centers. The project is funded by the Swedish Energy Agency in close collaboration with Arjeplog Municipality