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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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Duke University, Mechanical Engineering and Materials Science Position ID: Duke -MEMS -PDAQUINO [#30494] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27701
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mobile health technology-based strategies. Minimum Requirements: The candidate must have a doctoral degree (PhD) in clinical psychology with prior research and clinical experience in psycho-oncology
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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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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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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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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
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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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Institute for Marine Science, NC State University’s Center for Marine Sciences and Technology, NOAA, and others. Qualifications A successful applicant will have earned a PhD in Ecology, Marine sciences, or a