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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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Theory , Atomic Molecular and Optical Physics , Atomic Physics , Atomic, Molecular, and Optical Physics , atomic-molecular-optical physics , Atomic/Molecular Physics , Biological Physics , Biophysics
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research on 2D materials, including ferroelectric, multiferroic, topological, and moiré systems. Develop, implement, and apply advanced simulation techniques (e.g., density functional theory, tight-binding
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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focus of their work is the role of protein dynamics and quantum mechanics during enzyme catalysis. Much of the work involves computational chemistry, often combing molecular dynamics (MD) simulations with
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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glycocalyx – Does binder clustering matter?" As MSCA PhD Fellow at the Department of Molecular Chemistry (CNRS-UGA, Grenoble), you will develop synthetic glycocalyces with tunable binder affinity, density, and
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engineering, chemistry, physics, or a closely related field are particularly encouraged to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning
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strongly recommended. • High Performance Computing. • Experience with High Throughput Calculations will be valued but it is not essential. • Previous knowledge of Density Functional Theory (DFT) and
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and