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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
knowledge of the molecular dynamics simulations, polymer physical chemistry, and data analysis, Linux operating systems, programming skills and scripting, all of which could be obtained during
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Researcher (R2) Positions Postdoc Positions Application Deadline 18 Sep 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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molecular and quantum materials containing lanthanide centers poses significant challenges due to the need to describe spin-orbit coupling (SOC), scalar relativistic effects, and both dynamic and non-dynamic
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molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware. You will join a project team of HPC software scientists at KCSC collaborating closely with and driving
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modeling; A solid understanding of molecular simulations, especially in relation to RNA systems, and capable of handling largescale biological data; Ability to communicate scientific concepts, analytical
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molecular and quantum materials containing lanthanide centers poses significant challenges due to the need to describe spin-orbit coupling (SOC), scalar relativistic effects, and both dynamic and non-dynamic
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technologies Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional
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nanoporous media; Atomistic simulation of chemical reactions and/or thin-film growth; Data-driven cheminformatics for molecular modeling and/or design; Molecular dynamics simulations. Your background and
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at large scale research infrastructures Experience in in vitro experiments to characterise nanoparticle therapeutic efficacy Experience in in molecular dynamics simulations (coarse grain or all atom) and
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use for materials design. To address this challenge, the project will combine molecular dynamics-generated synthetic microstructures, physics-based forward diffraction models, and generative AI