10 computer "https:" "https:" "https:" "https:" "https:" research jobs at UNIVERSITY OF HELSINKI
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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic
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staff members. The Department of Chemistry (https://www.helsinki.fi/en/faculty-science/faculty/chemistry ) at the Faculty of Science carries out research on chemistry and its applications
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong
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cell models, retinal organoids, and animal models, creating a unique translational pipeline from gene discovery to therapy development. The successful candidate will join a growing research programme
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of Alternative Splicing for RNA Therapeutics Innovation”. The EpiTheraRx project aims to develop computational approaches for identifying disease-relevant alternative splicing events and their epitranscriptomic
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with
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LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets
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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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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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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