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The Children’s University of Tübingen Neuroscience student lab Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant professors, junior research
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University of Tübingen Neuroscience student lab Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant professors, junior research group leaders
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University of Tübingen Neuroscience student lab Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant professors, junior research group leaders
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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an emphasis on in vivo assays, animal models and state-of-the-art imaging tools Soft skills seminars on communication, presentation and other topics equally relevant for achieving success in both a scientific
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 3 hours ago
activity of the vast numbers of interconnected neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry
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mechanisms underlying psychosis. The research utilizes advanced multiphoton imaging and virtual reality platform for simultaneous recording of animal behaviour and microcircuit activity. RESPONSIBILITIES
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heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
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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