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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our
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address this measurement problem by developing a coherent strategy for integrating inputs from several critical experimental techniques to perform fully atomistic structural refinements. The research
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challenged by the preponderance of surface and finite size effects. This project aims to dynamically track temperature-induced phase transitions at the nanoscale through atomistic simulations. Focusing
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Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position aims to advance the atomistic
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. The Research Environment The position is hosted jointly by the CoSAXS beamline and the Edler goup at Lund University. CoSAXS ( https://www.maxiv.lu.se/beamlines-accelerators/beamlines/cosaxs/ ) is a
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develop and apply multiscale molecular-simulation approaches, combining coarse-grained and atomistic simulations with simplified physical models, to investigate how the interplay between
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complemented by modelling and simulation (i.e. finite element and/or atomistic, as appropriate) to inform design choices and optimise device performance. The project will also consider manufacturability and
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and data will be lost. Posting Summary Logo Posting Number RTF00028PO21 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Post Doctoral
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machine learning techniques, particularly machine-learned interatomic potentials, in the context of chemical research. Knowledge of atomistic and coarse-grained classical force fields. Experience
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biophysics. Perform molecular modeling and atomistic simulations to generate and analyze benchmark systems for quantum algorithms. Evaluate and compare classical and quantum computational approaches