37 phd-computer-artificial-machine-human Postdoctoral positions at University of Washington
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Position Summary The Mavers Lab is seeking a Postdoctoral Research Associate to investigate the role of human and murine invariant natural killer T cells in GVHD/GVT, which have particular promise
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organoid culture, genetically engineered murine models, and human samples. The lab has successfully competed for various funding. The appointment is viewed as a training or transitional period preparatory to
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to regulate metabolism. We are interested in how these EV-mediated signals contribute to pathology in obesity and diabetes with the hope that we can harness this information to treat human disease. Job
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interpreting wet-lab synthesis data are encouraged to apply and will have opportunities to explore machine learning-guided approaches in chemistry. In addition to excellent research skills, we are seeking
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multidisciplinary approach, spanning basic biology and translational medicine using mouse models and patient samples, tackles complex questions with profound implications for human health. Projects are available
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fellow to study the cell fate decision mechanisms in hematopoietic stem and multipotent progenitor cells using primary mouse and human bone marrow cells and patient samples. The successful candidate should
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experience. Applicant Special Instructions: To apply, please submit the following documents to Rui Tang, PhD, Assistant Professor at ruit@wustl.edu . Cover letter expressing your interest and highlighting your
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precision cardiovascular medicine, leveraging cutting-edge approaches such as human iPSC-derived 2D cardiovascular cells, 3D vascularized cardioids, CRISPR gene editing, high-throughput CRISPRko/i/a screening
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should send a cover letter including a description of career goals, curriculum vitae, recent publication(s), and the names and contact information for 3 references (including the PhD mentor, if applicable
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combines human samples, mouse models, and in vitro culture system, and leverages single-cell technology, bioinformatic analysis, and mechanistic interrogations to revolutionize our understanding of gut