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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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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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both competitive in peacetime and resilient in times of crisis. For more information, visit FORCE – Centre for Food Resilience and Competitiveness. Subject description The postdoctoral position focuses
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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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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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, 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