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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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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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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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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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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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position. The lab studies cognitive control using behavioral/modeling, fMRI, EEG, and TMS approaches. The Postdoctoral Associate will build specifically on our ongoing research examining neurocognitive
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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affirmative action, please see: https://oie.duke.edu/policies-procedures-and-statements/equal-employment-opportunity-statement/ Professional competence, ethical standards, and the ability to serve as a role
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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