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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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experience in amino and fatty acid requirements and supplies. Effective use of statistics and modeling tools in support of decision-making tools. Proven ability to work independently and learn continuously
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. An individual is needed who can conduct research on questions related to how organisms respond to hypoxic stress and nervous system function using the model organism C. elegans. The individual will report
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well as market and organization considerations. Education: Ph.D. in machine learning, computer science, engineering, science or related technical discipline. Experience: Expertise in developing and training AI
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learning and structural modeling approaches. This position offers an exciting opportunity to work on the mechanistic study of GPCR-mediated signaling, the rational design of next-generation biologics
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on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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Environmental Sciences in the College of Science, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate position in air quality modeling and forecasting of extreme
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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Learning for Subsurface Energy Systems Across Scales.” Project Description: The project aims to build computational models that enhance our understanding of physical, geomechanical, and geochemical processes
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Acquire, process, integrate, and standardize large-scale multi-omics datasets and build databases Perform integrative and exploratory analyses of multi-omics datasets and apply machine learning methods