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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | about 2 months ago
predictive simulation), and related fields. Cluster 2 : Coastal Marine Ecosystem Change Cluster 2 aims to advance mechanistic understanding of coastal ocean-ecosystem dynamics through cross-disciplinary
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molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware. You will join a project team of HPC software scientists at KCSC collaborating closely with and driving
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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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interactions. We’re Looking for Someone With: Expertise in gas phase molecular dynamics simulations Talented in scientific software development and high-performance computing Experience in theory calculations
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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
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at large scale research infrastructures Experience in in vitro experiments to characterise nanoparticle therapeutic efficacy Experience in in molecular dynamics simulations (coarse grain or all atom) and
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candidate must have extensive experience modeling the proteins of cardiac muscle and with such rare event simulation methods as Transition Path Sampling and Metadynamics. The Department of Chemistry and
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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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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
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Science for Life Laboratory pursues interdisciplinary research in cell and molecular biology. The group is led by Wei Ouyang and combines wet-lab work with automated experimental platforms and AI-driven