116 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Finland
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pension fund, a generous holiday package, sports facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). Required qualifications PhD (or near completion
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of Computing The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent
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society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent Systems, Cybersecurity and Health Technology. The Faculty of Technology is the newest
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into the UTUGS doctoral programme, the title will be updated to doctoral researcher. Eligibility requirements for these positions are defined in the University of Turku's regulations: https://www.utu.fi/en
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, advanced simulations, and machine learning to study emergent quantum phenomena in platforms such as ultracold atoms, molecules, and photonic devices. Its research develops new frameworks and computational
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? As a member of our community, you will have the opportunity to widen your perspectives on various international business topics as well as familiarize yourself with an academic career and learn
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experience and generally falls in the range of 15-20 %. The applicant may also present a separate salary request. Where to apply Website https://academicpositions.com/ad/natural-resources-institute-finland
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may also present a separate salary request. Where to apply Website https://academicpositions.com/ad/natural-resources-institute-finland-luke/2026/… Requirements Research FieldAgricultural sciencesYears
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Offer Description Join us to learn about soil research and the development work on soil indicators. We offer varied and interesting work tasks as part of an international research group. Job description
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-driven 3D motion understanding and generation in the following ways: Developing machine learning methods to decode EEG-based motor imagery for 3D human motion reconstruction, focusing on latent diffusion