Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- SciLifeLab
- KTH Royal Institute of Technology
- University of Lund
- Umeå University
- Karolinska Institutet (KI)
- Luleå tekniska universitet
- Lunds universitet
- Karlstad University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Linköping University (LiU)
- The Royal Institute of Technology (KTH)
- Umeå universitet
- University of Borås
- Uppsala University
- universitypositions
- 12 more »
- « less
-
Field
-
would like you to: Be able to organize and structure your work. Deliver results as agreed upon. Be proactive, engaged, and willing to show and take initiative. Be interested in sharing your knowledge
-
would like you to: Be able to organize and structure your work. Deliver results as agreed upon. Be proactive, engaged, and willing to show and take initiative. Be interested in sharing your knowledge
-
external large-scale datasets. The role focuses on establishing the data foundations for the program’s initial modelling efforts by identifying, evaluating, integrating, and structuring large biological
-
validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
-
produced in parallel postdoc projects in the initiative. The research aims to gain a deeper understanding of the structure / performance relationship of the developed electrolytes and interactions between
-
for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
-
situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
-
communication skills, with the ability to work in teams and present scientific work. You are structured in your approach and take initiative to independently drive your work forward. You can quickly switch
-
will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
-
design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI