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seeking a Research Scientist to conduct research in partial differential equations (PDEs), mathematical fluid dynamics, and related areas of mathematical physics. We particularly encourage applications
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Mathjobs.org | 27 days ago
structure prediction with experimental cryo-EM data * Cryo-EM, molecular dynamics, and structural biology: Developing methods for analyzing conformational heterogeneity, revisiting statistical foundations
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structure prediction with experimental cryo-EM data * Cryo-EM, molecular dynamics, and structural biology: Developing methods for analyzing conformational heterogeneity, revisiting statistical foundations
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out at the IBDM (Institute of Developmental Biology of Marseille) within the “Physical approaches to cell dynamics and tissue morphogenesis (PoM)” team, and at IUSTI (University Institute of
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in the following areas: Electronic Structure and Dynamics in Advanced Materials Objective: achieving atomic-precision control and characterization of materials to deepen the
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, semiclassical, or classical–quantum interaction. The work will address gravitational modifications of quantum dynamics, including Schrödinger–Newton-type models, gravity-related collapse mechanisms, hybrid
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Georgia | United States | about 1 month ago
staff position within a Research Infrastructure? No Offer Description Work group: Structure and Dynamics of Energy Materials Area of research: PHD Thesis Job description: Reference No. SE 2026/13 The
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understanding soil microbiome dynamics in dryland agroecosystems. Moving beyond traditional microscale analyses, the project investigates how agricultural management practices influence microbial
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Biomedical Sciences, provides rich opportunities for collaboration. For more information see www.creol.ucf.edu . The Semiconductor Diode Laser Group ( https://www.creol.ucf.edu/sdl/ ) is accepting
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relates to mesoscopic cortical dynamics, including oscillations and spatiotemporal activity patterns. By developing and applying advanced causal discovery methods for complex time-series data, you will