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Field
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Doctoral or post-doc position in the simulation of mechano- or tribochemical processes in advanced hydrogen storage materials (metal, complex and organic hydrides) and degradation of contaminants in
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specific emphasis on Molecular Dynamics (MD) simulations and a preference for expertise in protein-RNA simulations. We are seeking a highly motivated and qualified candidate with a strong background in
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and applications. Excellent written communication skills, as evidenced in application materials. Preferred Qualifications Experience with molecular dynamics simulations and analyses, cheminformatics
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spectroscopy and molecular dynamics simulations: We develop and apply novel ultrafast spectroscopic methods aimed at uncovering how changes in light, environment and structure switch the function of photoactive
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articles (e.g. JCP 152, 2020, 210901). Candidates should have significant general experience in molecular dynamics/electronic structure and a PhD in computational/theoretical chemistry/physics. Please send
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with molecular simulation tools (GROMACS, CHARMM, etc) and/or multiscale and coarse-grained approaches, such as Normal Mode Analysis, Brownian Dynamics, etc. are a prerequisite. Extensive expertise in
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or equivalent Specific Requirements Required Qualifications PhD degree in Physical Sciences, Mathematics, Engineering, Computer Science or relevant disciplines. Previous experience in molecular simulations
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developing a protocol gathering an array of state of-the-art computational techniques: ab initio methods, molecular dynamics, enhanced sampling techniques (metadynamics, umbrella sampling) and machine learning
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Profound scientific knowledge and experience in: protein crystal structure analysis virtual screening, ensemble docking, molecular dynamics simulations ligand-protein interactions, protein-protein
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, Chemistry, Physics, Pharmacy, or a related discipline with expertise in computation, molecular dynamics simulation, and statistical mechanics. For a further description of current research projects see https