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Field
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; biochemical characterisation of virus–glycan interactions. These insights will be integrated to define glycan features that govern influenza attachment and to develop advanced in vitro receptor models
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Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical
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scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes
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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies
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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | 2 months ago
plants grow, reproduce and interact with the abiotic and biotic environment is at the focus of the IMPRS. We conduct curiosity-driven, basic research centring around the following questions: How do primary
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opportunity to work across both countries on a solution-driven approach to a problem identified under ten multidisciplinary themes related to the Smart Cities development. Opportunities for collaboration with
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-based model for monitoring the condition of helicopter components is being developed as part of this project. With the help of flight test data, this model is to be calibrated and used to predict
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also become part of a thriving social environment. This is a unique opportunity to work in a multidisciplinary data-driven environment, collaborating with teams specializing in nanofabrication, material
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research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded in