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, NeRFs, Diffusion Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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development, computational tool implementation, and validation with experimental partners. The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension
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program), whereas postdoc position is typically for two years. The selected candidate will get the opportunity to work in a highly stimulating and collaborative international research environment and access
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22.10.2020, Wissenschaftliches Personal PhD and PostDoc Positions in Visual Computing & Artificial Intelligence: we are looking for highly-motivated PhD students and PostDocs at the intersection
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 30 days ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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. Position Responsibilities: Develop and implement computational and systems biology approaches for network and hidden driver analysis from spatial omics and single-cell omics data. Collaborate with
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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware