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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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environments with minimal environmental impact. We are recognized nationally and internationally for our excellence in numerical and computational modelling, experimental innovations, our collaborations with
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moss, where morphology is either highly plastic or non-variable. To document and conserve the numerous undocumented species, many of which are nearing extinction, the project proposes leveraging AI
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system complexity. Your work will include: Developing modular, efficient, and transparent control algorithms. Combining model predictive control with learning-based motion prediction under uncertainty
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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, LSST, GaiaNIR, Euclid, NewAthena, etc.) to enhance the solutions and the overall science return. The combination of LISA and data from other projects would potentially allow a more accurate Galaxy model