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standard and enhanced sampling molecular dynamics simulations, and machine learning approaches. Participate in manuscript preparation and dissemination of research findings through presentations
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qualifications: Solid experience in organic synthesis, macromolecular/intermolecular interactions, or dynamic covalent chemistry. General qualifications: For all positions we are seeking bright and open-minded
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a Postdoctoral Research Associate to train in interdisciplinary projects involving developing new AI-driven Molecular Dynamics (MD) simulation methods and apply them to drug discovery in multiple
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related field, with strong experience in molecular and cellular biology, molecular biology–related bioinformatics, flow cytometry, and cell culture. The candidate should be highly motivated, organized, and
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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of viruses and human immune responses with a focus on influenza viruses and SARS-CoV-2 Investigate antibody and B-cell repertoire dynamics and their interaction with evolving viral populations using state
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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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biology, biomedical engineering, drug discovery, structural biology, and molecular and cellular biology. Our vision is to be a world leader in the chemical and biochemical sciences through cutting-edge
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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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at least one of the following areas: excited-state simulation methods, multiscale simulations (QM/MM a plus), catalysis (biological, homogeneous, or heterogeneous), molecular dynamics simulations, sampling