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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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complex chemistry, molecular metal compounds, homogeneous metal catalysis, organic synthesis, mechanochemistry of metals, as well as experience in analytical techniques including NMR, PXRD, HRMS and ICP-MS
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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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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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) with clear indication on the motivation to apply for this position, a copy of a PhD degree certificate. If you are interviewed, you will be asked for contact details for two references. The deadline
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your research interests, relevant experience, and motivation for applying for the position A curriculum vitae A list of publications, including manuscripts in preparation A copy of your PhD certificate
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‐Wilding, H., Ellmén, M., Orell, P., Erkinaro, J., & Primmer, C. R. (2020). Time spent in distinct life history stages has sex‐specific effects on reproductive fitness in wild Atlantic salmon. Molecular
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proposition depends on how high the risk of forming a false belief is. But what exactly is risk, and why is it of normative significance? In the research project ‘Metaphysics, Ethics, and Epistemology of Risk