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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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animal model. However, small animal model findings are not always transferable to larger mammals or humans. The goal for the post-doc is to investigate how the tendon structure and mechanical function
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primarily conducted using wild and domesticated bird models. The candidate will be responsible for establishing a knock-out model with reduced temperature sensitivity and using this model to experimentally
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logistics and packaging, with a focus on Industry 5.0 and circular food systems. Development of data-driven models and frameworks to improve supply chain resilience and energy efficiency. Mapping and analysis
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to methods and principles aimed at understanding and modelling the mechanics of deformable bodies. Solid mechanics is a core discipline in mechanical engineering and is of fundamental importance to many other
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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
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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