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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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(partly) A large research campus in the countryside, which offers the best opportunities to network with colleagues and to do sports outside of work Targeted services for international employees, e.g
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scale and the coastal areas, up to, and including, development and demonstration of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and
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) A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work Targeted services for international employees, e.g
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possible means for networking with colleagues and pursuing sports alongside work Targeted services for international employees, e.g. through our International Advisory Service In addition to exciting tasks
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Christmas and New Year) Targeted services for international employees, e.g. through our International Advisory Service In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a
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family-friendly corporate policy Flexible work (location) arrangements, e.g. remote work Targeted services for international employees, e.g. through our International Advisory Service In
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) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de
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) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de