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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
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meetings to present and discuss the research outcomes. The HYDROUS project aims to advance green hydrogen production through electrocatalysis by developing novel molecular models to elucidate the fundamental
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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? No Offer Description The research assistant will be responsible for analyzing mathematical models and algorithms for tracking gas composition in CO₂ pipeline transport systems, as well as for detecting
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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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on gross and net carbon fluxes for sites where such data are available. Additionally, the researcher may perform simulations with a specific model to analyze the contributions of various factors (climate, CO
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-based modelling and design of microwave and RF devices. Perform electromagnetic simulation, design, fabrication, and experimental validation of microwave and RF components. Develop physics-assisted AI/ML
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simulation environment so that issues at the interface between the electricity markets, end customer supply, and decentralized energy systems can be investigated. To this end, suitable models and methods