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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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multimorbidity through a new level of understanding and acting on these dimensions - lifelong molecular, physiological, environmental, behavioural and societal mechanisms. About the job The successful candidate
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and experimental models. Our research focuses on combining large-scale molecular data - including metabolomics, lipidomics, genomics, proteomics, glycomics, and microbiome data - with advanced
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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
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resistance mechanisms and dynamics in ovarian cancer. Please see the website link to our university to see more details about the position and applying (https://jobs.helsinki.fi/job/Helsinki-Postdoctoral
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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