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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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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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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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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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) 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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postdoc associate. The individual will implement, simulate and analyze models of epileptic source localization from EEG signals. Collaborate with clinicians to obtain and analyze imaging, EEG, and outcome
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predictive models to quantify shrubification risk; and (iii) investigate the implications of shrubification for water markets and policy. Teaching & Engagement: Contribute to climate fluency and sustainability
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analyzing flux tower, aerosol, and satellite remote sensing data • Familiarity with Earth system modeling and/or AI/ML applications is highly desirable • Strong written and oral communication skills and a
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language model training, and usage. They will also work with PIs to analyze data generated by these studies, write them up as scientific articles, and assist with grant-writing and other public outreach
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, numerical methods, and Earth system modeling to develop and evaluate a coupled xylem–phloem transport framework that translates multiscale physics into next-generation vegetation model schemes. Key