55 phd-in-architecture-and-built-environment Postdoctoral positions at Technical University of Munich
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50
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passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s design the energy
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dynamic, interdisciplinary and international environment on the Garching Campus of TUM, collaborating with several research groups working in related fields, particularly in algebraic geometry and
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activities of the group. The successful candidate will have the opportunity to engage in research within a dynamic, interdisciplinary and international environment on the Garching Campus of TUM, collaborating
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of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research, education and
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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preliminary work! • You will characterize metalloid transport proteins. • You will be involved in the training of students on the Bachelor and Master level. YOUR QUALIFICATIONS AND SKILLS • You have a PhD or
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning