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, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI
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Qualifications: PhD in immunology, cancer immunology, autoimmune diseases, human genetics, molecular biology or biochemistry Experience in autoimmune diseases, preclinical animal disease models, multi-color flow
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The Wu lab (https://www.lerner.ccf.org/immunotherapy/wu/) is currently seeking a highly motivated Postdoc Fellow to join our research team in the Center for Immunotherapy & Precision Immuno-Oncology
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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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, 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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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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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 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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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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women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages