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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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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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foundation for an independent research trajectory. REGAL is a multidisciplinary research program integrating social epidemiology, molecular epidemiology, and global health to investigate the drivers of cancer
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methodologies in collaboration with Dr. Suthana and interdisciplinary team members. · Apply advanced statistical and computational approaches to investigate neural dynamics underlying naturalistic behavior
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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