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The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
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of the behavior of machine elements • Development and validation of physically based models for the prediction of wear and damage • Publications at international conferences and in scientific publications. Your
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 8 hours ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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military or alternative service, to care for close relatives or due to long-term illness. Job hunting, unemployment and non-academic employment do not count as career breaks. The voluntary disclosure
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or alternative service, to care for close relatives, due to long-term illness or, for example, to care for children or due to the closure of institutes during a lockdown imposed to control an epidemic
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or alternative service, to care for close relatives, due to long-term illness or, for example, to care for children or due to the closure of institutes during a lockdown imposed to control an epidemic
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Humboldt Research Award programme information. Humboldt Research Award programme information (PDF, 63 KB) Recently selected award winners Hint Online info event: If you would like to learn more about this
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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private machine learning: Differential privacy (DP) is the gold-standard for privacy protection, but deep learning models trained with DP suffer from privacy-utility trade-offs. You will develop novel model
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models