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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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well as development of instrumentation, in particular high-energy instrumentation, i.e. X- and gamma-ray detectors and optics. The division is currently active in operation of instruments on and data analysis from
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biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
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