19 foundation-engineering-"https:"-"https:" Postdoctoral positions at Duke University
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researchers and physicians work together to solve important clinical problems. The current and prior work of our team includes the development and evaluation of foundation models as well as deep learning
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therapy, with a particular emphasis on epigenetic regulation, radiation response, and treatment resistance. Our work leverages patient-derived organoids, engineered cellular models, functional genomics, and
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research in engineering and science related to critical minerals. This position will contribute to building interdisciplinary excellence and research pathways in critical minerals research at Duke University
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. The Department of Surgery at Duke University is seeking a qualified Postdoctoral Associate. This postdoctoral research position focuses on applying AI, agentic systems, and software engineering to
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, the Gerber Foundation, and the Burroughs Welcome Fund. This role is for a computational scientist to lead transformer/foundation-model work on FoodSeq data (training, synthetic profile generation, and
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opportunity to lead innovative projects, collaborate with interdisciplinary researchers, and help advance our understanding of brain function. Minimum Requirements: Ph.D. in Neuroscience, Biomedical Engineering
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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. What You'll Bring Required Qualifications Postdoctoral Associate PhD, MD, or equivalent doctoral degree in Neuroscience, Physiology, Pharmacology, Biomedical Engineering, Cell Biology, or a closely
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international programs in more than 150 countries. The Pratt School of Engineering at Duke University is one of the fastest rising, highly ranked engineering schools in the nation. The school consists of four
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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