47 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions in Finland
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) Application Deadline 1 Feb 2026 - 21:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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to apply Please send your application as a single PDF file through the eRecruitment system at https://www.aalto.fi/en/open-positions/postdoctoral-researchers-in-mathematics-in-probabilistic-and-algebraic
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on the position. The hired researchers will work as part of the computational aerosol group at INAR. The computational aerosol physics group uses computational and theoretical methods to understand cluster and
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) Established Researcher (R3) Country Finland Application Deadline 22 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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The Faculty of Humanities at the University of Helsinki invites applications for the position of POST-DOCTORAL RESEARCHER IN COMPUTER SCIENCE OR DIGITAL HUMANITIES SPECIALIZING IN AUDIOVISUAL DATA
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2026. The research will be carried out within the newly established Centre of Excellence (CoE) in Neutron-Star Physics (https://neutronstars.fi/ ), funded by the Research Council of Finland. The CoE
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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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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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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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) must be met by the beginning of the employment. Other requirements are a good computational background (basic knowledge of R, Python or Bash programming languages) as well as experience in analysing