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The postdoc will join the group of Dr. Barbara Sixt, a highly international research team. The lab is based at Umeå University in northern Sweden and is affiliated with the Department of Molecular Biology, the
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
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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electrocatalysis: The research involves the application and development of ab initio methods, molecular dynamics and kinetic Monte Carlo simulations to model electrocatalytic oxidation and reduction reactions
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» Biochemistry Chemistry » Applied chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Nov 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract
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» Biochemistry Chemistry » Applied chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 16 Nov 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract
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excited states. Further, we use and develop classical and quantum dynamical methods to explain molecular photochemical process, also in complex environments. Your personal sphere of play: A university
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at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
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, for the major lower-mantle solid solutions (bridgmanite, post-perovskite, ferropericlase, and davemaoite). The work involves large-scale molecular dynamics simulations to calculate non-ideal mixing properties and
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong