76 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "Inserm" positions at AALTO UNIVERSITY
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and Wetting Group (http://physics.aalto.fi/smw
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computational research on materials science, with a focus on metallic alloys. The Materials to Products (M2P) research group investigates the properties and performance of engineering materials processed by
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collaborate with each other, and we expect applicants to have the capability to integrate with our team, enriching the skillset of the entire team. Our experimental and computational resources are of excellent
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systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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program with high-profile invited lecturers, combining both science-based and transferable skills training, with attention to your future career development. All BRIDGE-AI’s doctoral candidates will convene
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and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University . Your network and team The successful applicant will join
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international collaboration. InnoWAT (2025–2029) is a project led by EERG and Distinguished Professor Olli Varis, implemented through Aalto University’s Sustainable Global Technologies Programme , and funded by