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11 Jul 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Computer science Researcher Profile Leading Researcher (R4) Application Deadline 16 Aug
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Deadline 31 Aug 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
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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We
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The Helsinki Logic Group is recruiting a PhD student interested in completing a PhD in mathematical logic. The position is part of the research project “Logic and Computation over Semirings” funded
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Scientist / Senior Scientist in Mass Spectrometry-based Proteome Research About Us The Helsinki Proteomics Center (HPC) is a state-of-the-art technology platform operating across two life-science campuses at the University of Helsinki. Dedicated to advancing proteomics research, we provide...
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer
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Schleuning (Senckenberg Biodiversity and Climate Research Centre, Germany). Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics
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ecology, conservation science, and biodiversity informatics. The position is available from 15 October 2026, or as agreed. About the position Understanding how ecosystems respond to global change is one
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is fixed-term with the main purpose of preparing a dissertation related to the project in the Doctoral Programme in Science (SciDoc) of the University of Helsinki. The researcher will write scientific
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, or a related field. The successful candidate will have a strong academic track record and either a solid theoretical foundation or experience with computational methods. Experience in data analysis and