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use machine learning and data science to find better ways to utilize this data in healthcare planning, personalized medicine and targeted recall-studies. In this position, you will be a part of an
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-term postdoctoral researcher in computational systems biology, focusing on the links between microbiome and cancer. The work can start on August 1, or based on mutual agreement during 2026. The position
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. Project overview Healthcare systems collect vast amounts of heterogeneous data routinely through interactions with individuals. Our mission is to use machine learning and data science to find better ways
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professors and close to 5000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity
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common work manners and active participation in group development. Job description We are looking for a Research Assistant or preferably M.Sc. thesis student to work related to a newly launched research
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health and chronic diseases and has developed methods for microbiome data science and bioinformatics. The postdoctoral researcher to be hired will also work as part of Prof. Kati Hanhineva's research group
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Epistemology of Risk. Starting date is flexible, but the end date is set. Project Risk judgments play a pivotal role in human societies. By acting in the world we inevitably take risks and impose them on others
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, the role of lymph node stromal cells in immune responses, differentiation and function of myeloid leukocytes, and immunological biomarkers of inflammation and cancer. The group extensively employs advanced
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the ionosphere-thermosphere system induced by geomagnetic storms. Your work will focus on applying existing first-principles global numerical simulations of the near-Earth space environment to study the effects
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faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why