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industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation of hybrid-electric aero-engine
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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor Juan-Jesús Carrero, each member brings together strengths ranging
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extensive testing with neuroimaging, biomarker measurements and neuropsychological testing. Our group applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model
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leave, duties in labour unions, etc. Preference will be given to candidates with proven experience in one or more of the following areas quantum field theories, lattice models, non-perturbative methods
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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
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of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
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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
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look forward to receiving your application! Join our cutting-edge research team at Linköping University to revolutionize protein modeling with AI! Work assignments Join our world-leading research group
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subject of research, which will be a teamwork involving close collaborations of the experiments, kinetic modelling, and computation fluid mechanics simulations. The new employee will have main task