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- The Max Planck Institute for Neurobiology of Behavior – caesar •
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involve a combination of wet lab and computational work, and be situated in both research groups. PhD Student (m/f/div) - Neural Information Flow and Genetics of Behavior The Project: You will explore
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
, to large-scale functional imaging of brain circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student (m/f/d) to work on a joint project between the Neural
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 7 hours ago
not required to be admitted, but German language courses are offered for free for interested PhD students. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 7 hours ago
/ PhD programme No Joint degree / double degree programme No Description/content The IMPRS CoNI provides world-class training for doctoral students and aims to nurture the next generation of scientists in
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a Research Associate / PhD: Physics-informed deep learning for PDE-constrained optimization
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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01.09.2022, Wissenschaftliches Personal The Trustworthy and Privacy-Preserving AI Group at the Institute for AI in Medicine is offering a PhD candidate position (TV-L E13, 100% for 3 years) in
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quality control tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep