30 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" research jobs at UNIVERSITY OF HELSINKI
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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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, based on a research plan approved by the dissertation supervisors; Completing the credits required for a doctoral degree in the doctoral programme in theology and religious studies (or another relevant UH
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28 Feb 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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development (https://www.helsinki.fi/en/about-us/careers ). How to apply A response to essential criteria (max 2 pages). Please ensure you provide demonstrated experiences from your previous work in relation
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an independent research programme, typically in collaboration with existing research groups at the university. The appointed researcher will contribute to teaching and administrative tasks (up to 5
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publications with key publications relevant to the position highlighted Research plan including timetable and publication plan, and a brief vision for career development (Max 4 pages) Guidelines for the CV and
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medicine, dentistry, psychology and logopedics, and an international Master's Program in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities
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with the Data Room projects, participating in their preparation either directly or by providing methodological or programming support. The researcher is also expected to participate in teaching
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expected to actively contribute to teaching in the master’s program in social sciences, or thesis supervision and other research activities of the Institute. QUALIFICATIONS The appointee to the position must
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have solid skills in programming and working with libraries for training and using machine learning models. Previous experience in managing large volumes of data and high-performance computing is