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lab members, and collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum
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Environmental Engineering, Pratt School of Engineering Qualifications • Ph.D. or equivalent doctorate in ecology, forestry, natural resource economics, civil and environmental engineering, geography, or related
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students from the Nicholas School of the Environment and Pratt School of Engineering. Work Performed: The primary duties of this position include: • Conduct fieldwork and sampling of water resources in mine
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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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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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, or engineering. Preferred Qualifications: The ideal candidate will bring experience or a very strong foundational understanding in areas such as high‑dimensional data analysis and translational research, and must
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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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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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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning