Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- SciLifeLab
- University of Lund
- Karolinska Institutet (KI)
- Lunds universitet
- Mälardalen University
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Luleå University of Technology
- The Swedish University of Agricultural Sciences
- Uppsala University
- Institutionen för biologi och miljövetenskap
- Linköping University
- Sveriges Lantbruksuniversitet
- University of Borås
- University of Skövde
- Uppsala universitet
- 10 more »
- « less
-
Field
-
for phenomena beyond the Standard Model. Duties The main duties will be to take a leading role in the development of analysis methods to search for the production of two top quarks and two Higgs bosons in the HH
-
models together with Professor Anders Kvanta and Dr. Filippo Locri. Once functionality has been demonstrated in animal models, the work will focus on making the method clinically compatible for future
-
specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and judgement strategies about forest biodiversity on their ownerships? Do family forest
-
group has for many years conducted research on the ICF and its application in developmental, psychiatric and somatic conditions. The research aims to develop and evaluate ICF-based models, assessment
-
expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
-
expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
-
Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
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
-
an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
-
platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
-
mechanical modelling, such as finite element analysis (FEA). experience of working with healthcare professionals and patients. strong knowledge of statistical methods, including non-parametric methods