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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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, Biostatistics/Statistics, Mathematics, Biomedical Engineering, or a related field by the start date. Skills: We welcome candidates grounded in one or more of the following: Generative AI/transformers, agentic AI
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induced by radiation, focusing on mechanisms of regenerative reprogramming and stromal-epithelial interactions. Complementary approaches will be used, including genetically engineered mouse models
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Duke University, Physics Position ID: Duke-Physics-POSDOCAK [#31363, 51201439] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions Certain jobs at Duke University and Duke University Health System may include essential
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all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may
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and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job
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partners and local teams at Duke's Microbiome Center, Department of Molecular Genetics & Microbiology, and Department of Biomedical Engineering Partnership with nearby research groups at UNC Chapel Hill and