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results into practical applications for end users. Subject Description The research aims to develop machine learning models for microbe detection, focusing on the mathematical foundations in geometry and
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models. Teaching skills. Additional assessment criteria: Documented experience and theoretical foundation in modeling protein pKa shifts upon association. Practical experience with, and knowledge
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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resilience. Experience with advanced modelling techniques for logistics and supply chain analysis (e.g., simulation tools, digital twins, or data-driven optimisation methods). Knowledge of food quality and
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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, and false positive detection, which is particularly important for fainter sources. An additional aspect is multi-messenger science and we wish to investigate the use of external data (e.g. from Gaia
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knowledge of the underlying association models. Demonstrated pedagogical skills. Additional assessment criteria: Consideration will also be given to good collaborative skills, drive and independence, and how