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Field
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) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Research
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manage multiple tasks. Ability to work both independently and effectively with others in a team environment. Valid driver’s license. Preferred: Research specialization in simulations of biogeochemical
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
for this position will work to develop a conservative machine-learning based sea ice model correction that can be applied to fully coupled climate model simulations. The project will involve: 1) the development of a
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mechanics of yarn fibers and textile structure inform the development of robust software modeling tools and testing instruments for realistic fabric simulation that enable inverse design. Ability to work in a
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. The successful candidates can choose to work on one of the following areas with Yuansheng Cao and collaborate with multiple researchers across the world: 1. nonequilibrium thermodynamics of biological information
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hardware modeling; discrete event simulation for quantum networking; novel auto-differentiation techniques for discretely random processes and circuits; and more. This position is expected to lead to the
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secure critical infrastructure for all. Major Duties/Responsibilities: Conduct research on grid resilience assessment methodologies, including modeling and simulation of grid operations under stress
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Spectroscopy (dwSCOS) sensor for non-invasive microvascular monitoring. 2. Perform Monte Carlo simulations for optical modeling of photon propagation in layered tissues. 3. Fabricate and characterize dynamic
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expertise in organoid models of neurodevelopment to join our team and be involved in a MRC funded project aimed at generating region-specific brain organoids and assembloids from multiple gene-edited human