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the design of smarter diagnostics and effective treatments. The team aim to understand the fundamental biological processes involved in dementia at a molecular level – and to use that knowledge
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the design of smarter diagnostics and effective treatments. The team aim to understand the fundamental biological processes involved in dementia at a molecular level – and to use that knowledge
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | about 22 hours ago
-linear optics, atoms and molecules in strong fields, atomic and molecular astrophysics, quantum information and quantum simulations, molecular astrophysics and laboratory cosmology. Applicants should state
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experimental systems — from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting
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. We are looking for a Research Fellow to join a major project, funded by the BBSRC, STFC and Haleon plc: ‘Building Molecular Simulation Capability for Digital Oral Care R&D as a First Step Toward an
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molecular dynamics simulations to model structural, thermodynamic, and electronic properties. - Contribute to open-source software, benchmarks, and datasets that advance the global materials community
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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on developing AI-driven methods for catalyst and materials discovery, atomistic simulations, and data-driven understanding of complex energy systems. Key Responsibilities: Research Outputs: Expected to lead 1–2