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characterising patient-derived induced pluripotent stem cell (iPSC) models and retinal organoids. Evaluating therapeutic efficacy using molecular, cellular and functional assays. Contributing to translational
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the dynamics of therapy-resistance by combining advanced molecular biology method development to multi-omic single-cell analyses of both ex vivo models and clinical tumor specimens. Our novel, in-house
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position within a Research Infrastructure? No Offer Description The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a
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The Machine Learning for Health team at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a highly-motivated postdoctoral researcher to join our team
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funded by the Research Council of Finland, the Kone Foundation and the ERC, with a focus on using the well studied Teno Atlantic salmon system as a model for adaptive management to assess biological and