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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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stepped-care prevention program with the following core components: “Mental health project days”, A digital emotion regulation training, and Tailored e-mental health modules, depending on the individual
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- English language proficiency at least at level C1 - Experience in supervising and mentoring students Further information is available from Prof. Dr. Radoslaw Cichy (rmcichy@zedat.fu-berlin.de
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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) in stellar astrophysics. The successful candidate will work on the Accretion process in Young Stellar Objects. The focus is on targets from the Hubble Space Telescope ULLYSES program for which optical
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on the PhD program can be found here: https://www.wi.tum.de/programs/doctoral-program. Requirements • Master's degree in economics or related disciplines completed with very good results • Solid knowledge
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. YOUR RESPONSIBILITIES Develop an original research program that leverages unique numerical experiments to test different hypotheses or uncover novel mechanisms Supervise doctoral and postdoctoral
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addition to the Institute of Psychology, includes other departments of the Faculties of Natural Sciences and Medicine, the Leibniz Institute of Neurobiology and the German Center for Neurodegenerative Diseases, which