44 parallel-and-distributed-computing-"UNIS"-"Meta" positions at UNIVERSITY OF HELSINKI
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Department of Computer Science of Faculty of Science invites applications for a POSTDOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed
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using unique novel mouse models, spatial technologies and analytical methods. Postdoctoral Researcher in Functional Cancer Microbiome through the NORPOD program NORPOD is a collaborative postdoctoral
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed. The Doctoral
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-Cell Genomics through the NORPOD program NORPOD is a collaborative postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research
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communities. The particular focus is to enhance the Joint Species Distribution Modelling to meet the challenges introduced by the analysis of ecological data collected with modern technologies and artificial
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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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and Integrative Biosciences Research Programme. The successful candidate should have a strong track record for their career stage in the field of genetics and be committed to excellence in research and
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includes teaching in the Bachelor's and Master's programmes in social sciences and the Master's programme in urban studies and planning, as well as supervision of theses and doctoral dissertations
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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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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets