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variants in immune cells. The postdoc will develop flow cytometry-based molecular and functional assays using in vitro cell models (cell lines, primary cells, and iPSC-derived cells), perform genome-wide
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on developing and applying foundational AI models to investigate clinically relevant cancer vulnerabilities and their relationship with molecular context. Spanning functional genomics and large-scale clinical
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malignant renal cancer, clear cell renal cell carcinoma (ccRCC). Research integrates state-of-the-art molecular biology using cell-based and animal models as well as system biology bioinformatics multiomics
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: Strong background and working knowledge in immunology, biochemistry, molecular biology and cancer biology. Expertise in flow cytometry, biochemistry and animal models is strongly preferred. A strong sense
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dysfunction, angiogenesis, mechanisms of immune regulation, and sex differences in PH. The team seeks a talented and motivated Postdoc with an excessive experience in molecular and cell biology research
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of early vertebrate developmental systems (zebrafish embryos), together with a variety of model tissue culture systems (human and mouse ES cell/iPS cell models), and mouse cancer models and uses a very wide
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partners, including other Harvard Medical School-affiliated hospitals. The Fischer Lab at Dana-Farber Cancer Institute is a Structural and Chemical Biology lab that combines molecular biology, computational
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derived samples, genetically engineered mouse models, along with state-of-the-art molecular methodologies, including transcriptomics (bulk and scRNAseq), epigenomics, CRISPR-genome editing, multiplex
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or principles rather than studying details. Postdoc candidates are expected with a record of successful research in the areas of molecular biology, cell biology, biochemistry, or genetics. How to apply? To apply
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers