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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated Doctoral Researcher with strong coding/signal analysis background to join
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intelligence. The project also aims to expand this modelling framework for spatially continuous forecasting by combining information from satellite images and species communities. Methodological research is
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, funded by the Research Council of Finland, synergizes modern computational methods for analyzing large histological image volumes, new magnetic resonance imaging techniques, and statistical physics
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responsibilities Design, implement and benchmark deep machine learning models for large-scale cancer datasets that include genomics, transcriptomics, epigenomics and imaging data Collaborate closely with
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of life science research with state-of-the-art research core facilities in genomics, biological imaging and structural biology. According to the 2024 Times Higher Education World University survey
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), including the brain and spinal cord, using advanced imaging methods. By developing a novel functional magnetic resonance imaging (fMRI) technique, this project aims to simultaneously capture activity in
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of Helsinki, Finland, and at the global forefront of life science research with state-of-the-art research core facilities in genomics, biological imaging and structural biology. According to the 2024 Times
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). We are seeking a highly motivated researcher to join our team. We use a wide range of molecular, cellular, transcriptomic, and advanced imaging techniques, in combination with ex vivo and in vivo
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cytometry, cell biology, metabolic assays, imaging and next generation sequencing to understand the molecular mechanisms involved in the regulation of immune cell function. The researcher (position 1) will