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through cutting-edge research. Join Dr. Marcel van den Brink’s multidisciplinary team to explore innovative ways to decipher the molecular mechanisms by which the microbiome contributes to the biology of
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, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are
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cells with greater precision, persistence, and safety, using synthetic biology, molecular immunology, and translational models. Led by Dr. William Gibson, the lab is based at Dana-Farber and Harvard
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, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from patients
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of laboratory infrastructure, including procurement of reagents and equipment, managing incoming scientists and clinicians, performing experiments using molecular biology, virology, cell culture and immunological
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computer chips. Your role will be to design processes for transforming resources into sustainable materials by modeling reaction pathways from first principles. The project will collaborate with a broad
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, which aims to characterize bile duct inflammation in order to identify targetable molecular pathways using a range of multiomic techniques. In-depth characterization of animal models of bile duct
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 6 hours ago
at Charlotte is interested in the molecular mechanisms of genome integrity and cancer etiology using Xenopus egg extracts and mammalian cells as model systems. In particular, the Yan lab has made contributions
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research projects focused on generating, analyzing, visualizing, and mining real-world (e.g., EHRs) and experimental data that profile the molecular state of human cells and tissues using interactomics
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and