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, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
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therapeutic resistance in lung and head and neck cancers using integrated genetic, molecular, and computational approaches. We are particularly interested in discovering new therapeutic vulnerabilities and
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breast cancer research program focused on mechanisms of tumor progression, therapeutic resistance, and tumor-immune interactions. The successful candidate will lead experimental projects using breast
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behavioral data will be viewed favorably. • Applicants’ ideas about how their research program could contribute to research in the Lab will also be a plus. Position Details: This position will be in-person
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Postdoctoral Associate (9-Month Position) Be You. At Duke, we celebrate individuality and the unique perspectives that drive innovation and discovery. As a Postdoctoral Associate, you will join a highly collaborative research team dedicated to advancing our understanding of epilepsy, sleep...
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, evidence-based practice, and interdisciplinary collaboration to lead the future of nursing. Our nursing program stands as a leader in healthcare education, earning #1 in the nation for Best Bachelor
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designing, executing, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer-reviewed
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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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Associate to join a collaborative research program investigating the endocrine-disrupting potential of plastic additives. This position offers a unique opportunity to conduct rigorous pharmacological and
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growing portfolio of trauma, critical care, nutrition, ethics, and clinical informatics research. This position will coordinate complex, multi-component studies that include prospective patient enrollment