214 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs in Germany
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- Technical University of Munich
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- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
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- Deutsches Zentrum für Neurodegenerative Erkrankungen
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- Helmholtz-Zentrum Geesthacht
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- Leibniz Institute for Neurobiology
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- Max Planck Institute for Astrophysics, Garching
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- Max Planck Institute for Dynamics and Self-Organization
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Evolutionary Biology, Plön
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for the Physics of Complex Systems
- Max Planck Institute of Colloids and Interfaces
- Max Planck Institute of Molecular Cell Biology and Genetics
- Ruhr-Universität Bochum
- University Medical Center Göttingen
- University of Bonn
- University of Cologne
- University of Hamburg
- University of Kiel
- University of Potsdam, Faculty of Science
- Universität Bremen
- Universität Hamburg
- Universität Tübingen
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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presentations at international conferences Willingness to learn and interest in interdisciplinary applied research We offer: A varied and challenging job within a top-class network from politics, science
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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into neuroendocrine output to instruct adaptive physiology and behavior. Conversely, we seek to understand how internal states shape our physiological responses to the same cues. Our research is based on the premise
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verification scalable and reliable. Learn more about logical zonotopes: [paper link ] | [talk link ]. You will conduct original research on logical zonotope based methods for model checking and digital circuit
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Coordinating and instruct a practical course for BSc Biochemistry students and supervise MSc students in the lab Your qualifications: PhD in Biochemistry, Biology or Life Sciences Strong motivation and a genuine
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We