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Field
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chemical synthesis, glovebox/Schlenk line use, solid-state chemistry, in addition to modelling inorganic materials by DFT (VASP, quantum espresso, etc.). An innovative mindset and ability to work
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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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computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 15 hours ago
will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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. Preferred Qualifications • Prior research experience in optical science, spectroscopy, molecular science, quantum science, physics, chemistry, or a related interdisciplinary field. • Experience conducting
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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processing for quantum and microelectronic device nanofabrication. Applicants must have (or expect to have at time of appointment) a Ph.D. in chemical engineering, physics, chemistry, or materials science
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Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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4 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire des Ecoulements Géophysiques et Industriels Research Field Engineering Chemistry Physics Researcher Profile First Stage
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Quantum Chemical simulations on 2D-material growth related reaction mechanisms Assist in integrating ReaxFF simulations into a AI-driven scheme for controlling autonomous growth Requirements