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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
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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
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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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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
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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
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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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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
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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
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. Teaching skills. Additional assessment criteria: Experience with research on stress signalling, metabolomics and phosphorylation cascades Experience with model crops, but also agriculturally relevant plant
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus