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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and communications, orthogonal time frequency space
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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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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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other Duke faculty, or faculty at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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into interactive or XR systems (e.g., perception, tracking, adaptive systems, user modeling) (Preferred) Experience collaborating with healthcare professionals or working on healthcare-related technologies EDUCATION
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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and
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of Medicine—are seeking a post‑doctoral scientist to contribute quantitative and modeling expertise to two major research projects. The principal investigator of the first project, Professor Osondu Ogbuoji, is