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reducing greenhouse gas emissions from Dutch peatlands. In this postdoc position you will work with a range of approaches — including molecular, microbial and geotechnical techniques — to tackle key
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the light of the experiments. - Stochastic simulation of a noisy dynamics associated with the ODE. - Reiteration and redesign of the experimental part. Related activities : Writing reports in form
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a Research Infrastructure? No Offer Description Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials
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-negative pathways. The open positions currently available provide a valuable opportunity for skilled and driven individuals to join a dynamic team and make significant contributions to this important and
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structural models and compute electronic and vibrational properties. Develop and train neural-network or other machine-learned interatomic potentials to enable large-scale molecular dynamics (MD) simulations
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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, chronoamperometry and impedance spectroscopy. Biophysical characterization of enzyme proteins, use of CD, IR, NMR, etc Experience in computational modelling of biointerfaces using advanced molecular dynamic
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years. Core competencies: ● Solid experience with molecular dynamics (MD) simulations and classical force fields (e.g., LAMMPS, GROMACS). ● Familiarity with polymer and ionic systems, surface interactions