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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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. The individual must be highly motivated and able to work independently as well as part of a dynamic team. Experience handling rodents (rats and/or mice), conducting rodent behavioral analyses, tissue dissection
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molecular biology. Data-driven Life Science Fellows program AlphaCell is a new SciLifeLab initiative aimed at building the first molecular-level computational model of the human cell. The program is led by
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation
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://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation framework that enables to produce bespoke climate and impact-sector information, combining
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to the project mentioned above using standard and enhanced sampling molecular dynamics simulations, and machine learning approaches. Participate in manuscript preparation and dissemination of research findings
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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structures, understanding molecular dynamics simulations software’s such as Material Studio, LAMPPS, etc., and meticulous knowledge of analytical tools used in the pharmaceutical industry. The successful
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description of the project [Outline of Laboratory] Our research group investigates a wide range of biological problems—from cell differentiation and multicellular dynamics to evolution and phase transitions in