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of turbulent processes at the smallest scales by controlling individual quantum vortices in a Bose-Einstein condensate (BEC). Project background: Turbulence remains an unsolved complex non-linear problem in
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) and hybrid materials, strength grading, statistical and probabilistic modelling of mechanical behaviour, and/or development of wood construction technologies and industrial processes. The specific
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2025) in a relevant discipline and demonstrated hands-on experience with deep learning technologies. Experience with large language models or computer vision applications is considered as a plus. What we
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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learning or deep learning in image post-processing Experience using optical tools, e.g., high-speed cameras, intensifiers, spectrometers, lasers, etc. The applicant for the position of a doctoral Candidate
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questions relating to the recruitment process, HR Partner Jenna Knuutinen, jenna.knuutinen@aalto.fi . Join us! If you want to join our community, please submit your application through our recruitment system
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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are identified. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not
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. Anton Zasedatelev, anton.zasedatelev@aalto.fi . Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and
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@aalto.fi. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not