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from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics headed by Helmut Grubmüller is inviting applications for a PhD
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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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 13 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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on the verge of holding, a PhD in a relevant field, such as DNA nanotechnology, computer science, bioengineering, synthetic biology, molecular self-assembly, physics, biology, or chemistry. You should
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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progress updates for SSHRC Qualifications PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field Demonstrated expertise
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We are seeking a Postdoctoral Researcher to work on the project Thermally-regulated Renewable and Automated DNA Computing Devices (TRAD), funded by Research Ireland. The position is under the direct
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Associate: A PhD (or equivalent) in an area pertinent to the subject area, i.e. Computer Science, Machine Learning, Robotics. Research Assistant: A Master’s degree (or equivalent) in an area pertinent
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collaborate with two postdocs specialising in experimental mechanics and materials science and PhD students. About You You should have a PhD degree in Computational Mechanics or a relevant subject (e.g
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New