Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Lunds universitet
- University of Lund
- Nature Careers
- Umeå universitet stipendiemodul
- Chalmers tekniska högskola
- Linköping University
- University of Gothenburg
- Chalmers te
- Luleå University of Technology
- Lund University
- Mälardalen University
- Mälardalens universitet
- Umeå University
- 5 more »
- « less
-
Field
-
quantitative genetics Expertise in the use of quantitative genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models
-
Statistics is offering a postdoctoral scholarship within the project “Phase transition in aggregation processes and network models”. The scholarship is full time for two years with starting date 1 January
-
medicine, with a particular focus on spinal cord and peripheral nerve injuries. The projects involve work on various aspects of nerve regeneration and tissue engineering using both in vitro and in vivo model
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description In recent years, AI models have shown remarkable
-
of burnup simulated doped UO2 fuel (ADOPTTM SIMFUEL). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in collaboration with Westinghouse and
-
genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis
-
is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and systems. Generally speaking, thermal runaway is a chain reaction
-
for applications in virtual reality, gaming, digital assistants, and social robotics. We build on recent breakthroughs in spontaneous speech synthesis and gesture generation based on deep generative models to train
-
with model crops, but also agriculturally relevant plant species including cereals, rapeseed, sunflower Experience with assessing plant productiviy Knowledge of applied plant biology and/or breeding
-
. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant