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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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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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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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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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neurological syndromes. Now, this and other emerging technologies, such as combining use of human brain tissue and mouse models, are being applied in my lab at Yale. As such, my lab offers an ideal platform
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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
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. The postdoctoral fellow will support our investigations of mechanisms of molecularly targeted therapies utilizing imaging in cell cultures and mouse models. The research will involve molecular and cell biology
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human brain tissue to determine radiotracer binding affinity, selectivity, and tissue distribution. Perform in vivo PET imaging studies in small animal models (e.g., rodents/nonhuman primates) to evaluate
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more