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focused on elucidating molecular and cellular pathways underlying photoreceptor degeneration and testing therapeutic interventions in relevant disease models. This position offers opportunities to work in a
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focused on elucidating molecular and cellular pathways underlying photoreceptor degeneration and testing therapeutic interventions in relevant disease models. This position offers opportunities to work in a
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 6 hours ago
efficacy studies in relevant mouse models. These studies will expose the successful candidate to cutting-edge prime editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid
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of the immune system in retinal degenerative disease. We utilize induced pluripotent stem cells, human donor tissue and mouse models of retinal degeneration to study the role of monocyte derived macrophages in
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background in immunology, flow cytometry, as well as experience in rodent models. The selected candidate will be expected to work independently while interacting in a collaborative environment. Education
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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the Southeast. Our lab is fully equipped for immunological, molecular, and translational research and benefits from seamless access to cutting-edge institutional resources, including BSL-2 and Southeastern