163 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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research environment, with continuous support for learning, training, and professional development. You will receive encouraging supervision in collaboration with Associate Professor Anni Tuppura and
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of Helsinki offers comprehensive services to its employees, including occupational health care and opportunities for professional development. Please read more at https://www.helsinki.fi/en/about-us/careers
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our website to learn more. How to apply? Submit your application by using our electronic application form no later than 6 February 2026 by 24:00 (midnight) Finnish time (UTC+2). Please note that you
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professors. To learn more, please visit eng.aalto.fi . The Department of Energy and Mechanical Engineering at the Aalto University School of Engineering invites applications for Doctoral researcher on energy
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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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to the construction of the database, we offer an opportunity to conduct your own research on the project’s themes with an especial view to facilitating your career development. We offer the possibility to learn and
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and engagement programme with Small to Medium Enterprises (SMEs). IVI has developed the ReThink ReDesign programme (https://ivi.ie/rethink-redesign/) which leverages research grants and supports from
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volumes of audiovisual data is essential. The appointee must have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large
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microelectronic hardware. Preclinical in-vitro and in-vivo testing of devices and methods will allow real world validation of this unusual Brain-Computer Interface. More information: (7) BRAINET: Overview