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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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biomedical innovation. You should have a PhD (or equivalent) in Pharmaceutical Sciences, Materials Science, Biomedical Engineering, Chemical Engineering, or a closely related discipline. If you are still
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for the game changing impact of our science globally. Our employees enjoy access to state-of-the-art technology and a diverse range of specialist training opportunities, including support for leadership and
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demonstrations and writing of detailed technical reports Essential & Desirable Criteria Essential A PhD in physics or engineering with a specialisation in optics or equally a PhD thesis submitted in same
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at https://marioskogias.github.io/ . What we are looking for: Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed
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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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papers, and dissemination materials. Applicants must hold a PhD in Mechanical Engineering, Energy Systems, Thermal Sciences, or a closely related discipline, and have proven research experience in hybrid