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include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration
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the research project We are seeking a highly motivated Postdoc to join our group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the
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, evolutionary genomics and plant systems biology. Current research topics include developing a single-plant omics strategy to unravel the molecular wiring of plant phenotypes, studying dosage balance-sensitive
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genomics and plant systems biology. Current research topics include developing a single-plant omics strategy to unravel the molecular wiring of plant phenotypes, studying dosage balance-sensitive genes in
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13 Apr 2026 Job Information Organisation/Company CNRS-Streinth Department UMR7242 Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Positions Postdoc
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fundamental questions in statistical physics. The work is primarily numerical, and we seek candidates with experience in particle-based simulations (e.g., molecular dynamics) and a strong interest in large
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Circuits Project description: Neuronal synapses are remarkably heterogeneous and dynamic structures that vary widely in molecular composition, nanostructure, and signaling strength. This rich variety
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. The postdoctoral researcher will study polymer chemistry, crosslinking
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at the Sir William Dunn School of Pathology, University of Oxford. The project aims to elucidate the molecular mechanisms of dynein-2 transport in cilia using cutting-edge structural and biochemical approaches
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The research goal of PCF is to understand and to control liquids and their interfaces from molecular to macroscopic scales. Our research connects fundamental phenomena in static and dynamic wetting, nanofluidics