85 parallel-computing-numerical-methods positions at UNIVERSITY OF HELSINKI in Finland
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Deadline 14 Sep 2025 - 00:00 (UTC) 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 staff position
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Finland Application Deadline 6 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
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Stage Researcher (R1) Country Finland Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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The Fagerholm and Harjunpää groups at the Molecular and Integrative Bioscience (MIBS) Research programme, Faculty of Bio- and Environmental Sciences, University of Helsinki are inviting applications
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for the work to be carried out. Research experience after completing the doctoral degree is expected. Scientific competence in developing artificial intelligence methods, with proven publication record
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of policy measures using quantitative methods. The selected candidate is expected to build and lead an active interaction with decision-makers in urban policies and representatives of other stakeholders, and
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in a relevant field Strong statistical background with either R or Python, with the ability to work in both worlds. Experience with databases (SQL) We work with Linux in large secure computing
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drylands, and other pressing environmental issues. You will gain experience in working at unique research sites in iconic East-African savanna landscapes and learn about the state-of-the-art methods in
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traits – and link these traits to epigenomic variation profiled via whole genome bisulfite sequencing. The candidate will also have the opportunity to explore advanced pangenome-based methods to probe