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Field
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candidate with a PhD degree in computer science, physical chemistry, chemical physics, theoretical physics, or a related field, with a strong background in training GNN-based ML predictive models (Equiformer
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center. Its primary mission is the pursuit of basic research in chemical biology and medicinal chemistry, organic and materials chemistry, chemistry of natural substances, biochemistry and molecular
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, electronic, optical, magnetic, and chemical properties for applications in electronics, sensing, energy, biomedicine, and quantum technologies, bridging fundamental materials physics with device-oriented
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Location ST. LOUIS, MO 63130 Position Summary The Dai Lab, focused on uncovering the physical chemistry of biological soft matter, is seeking candidates with expertise at the intersection
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chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be
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offers a unique and exciting opportunity to participate in cutting-edge research in a highly collaborative environment that crosses multiple fields between chemistry, material science, pharmacology and
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chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be
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degree in chemistry, chemical engineering, materials science and engineering, polymer science and engineering or related college courses and work experience in a laboratory setting totaling at least four
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management tasks. You curate data and prepare publications. Your Profile Completed doctoral degree in physics or chemistry Expertise in semiconductor carrier and excitation dynamics Demonstrated experience in
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods