81 high-performance-quantum-computing-"https:" "https:" "https:" positions at UNIVERSITY OF HELSINKI
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which they provide instruction, in this case Finnish, Swedish and German. To successfully perform their duties, the appointee will also require excellent English skills. Further information on language
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher — Evolutionary Genetics & Ecology of Colour and Performance University of Helsinki
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volumes of data and high-performance computing is necessary. Experience in collaborative development of research software and building annotated datasets or corpora is considered an advantage. The appointee
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Postdoctoral Researcher — Evolutionary Genetics & Ecology of Colour and Performance University of Helsinki , Faculty of Biological and Environmental Sciences (Viikki Campus) The Ecology and
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) Application Deadline 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
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We invite applications for a fully funded doctoral researcher working in the REINFORCE project at the Department of Computer Science, University of Helsinki. REINFORCE project (Automatic Detection
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programme in Agricultural Sciences (https://www.helsinki.fi/en/degree-programmes/maataloustieteiden-kandiohjelma and www.helsinki.fi/en/programmes/master/agricultural-sciences ) and in the international
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single-cell sequencing with high-throughput cell phenotyping and comparative evo-devo across species and developmental stages to link molecular cell states to quantitative phenotypes and evolutionary
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Deadline 2 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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integrative evolutionary cell biology. Our research combines single-cell sequencing, high-throughput cellular phenotyping, and comparative developmental approaches to understand how cellular programs evolve