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Field
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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: Building conceptual causal loop diagrams (CLDs) to represent farm-level feedback structures. Developing and calibrating a quantitative system dynamics (SD) model to simulate alternative dairy management
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and
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simulated and measured results to assess quantities of interest. Interface with world-class exascale computing clusters. Work with a dynamic team of researchers, developers, experimentalists, and model
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and responding to equator-pole temperature gradients over much longer timescales, using a series of 109 climate model simulations, 5 million years apart, over the entire Phanerozoic. Responsibilities
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mechanistic model simulating the effects of potassium availability on canopy carbon and water fluxes in tropical eucalyptus stands. EGUsphere, 1-37. Cornut I. et al. (2022b). Potassium-limitation of forest
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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consequences on reactivity measurements during source transients; • Calculation of the sensitivity of the results obtained by simulation to data libraries, modeling choices, and technological uncertainties