240 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral positions in Germany
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- Technical University of Munich
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- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
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- Deutsches Elektronen-Synchrotron DESY
- FUB - Free University of Berlin
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- Leibniz Institute for Neurobiology
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- Max Delbrueck Center for Molecular Medicine
- 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 Dynamics of Complex Technical Systems, Magdeburg
- 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
- University Medical Center Göttingen
- University of Bonn
- University of Cologne
- University of Hamburg
- University of Kiel
- University of Potsdam, Faculty of Science
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and adults actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas
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abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum
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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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strong background in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python
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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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, 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