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, and benchmarks Mentor PhD and Master's students and contribute to the lab's collaborative culture Engage with collaborators across EPFL and beyond (neuroscience labs, ecology partners, clinical
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: • a PhD in physics or related fields, completed or expected to be completed before the starting date; • a strong and demonstrated background in statistical mechanics; • experience with both analytical
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; Provide support in teaching activities. Profile A PhD degree in Micro-/Nanotechnology, Physics, Optics, Materials Science, Energy, or a related quantitative field A strong background in several of the
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technology transfer activities Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and