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learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while preserving the predictive power of first-principles modeling. Moreover
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School of Engineering Sciences at KTH Job description Come join our team as a Researcher and become part of a dynamic and innovative research department located at Scilifelab. Our research group is
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project. - Development of NMR pulse-sequences - Development advanced NMR processing schemes - Programming and Simulation - NMR characterization of large protein complexes - Dynamics studies of large protein
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measurements on the LASIRE UMR 8516 platforms. The candidate will also carry out molecular dynamics simulations and program in PYTHON to optimise spectroscopy data processing software. The candidate will work
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photolysis techniques Experience in elucidating reaction mechanisms from kinetics experiments Experience with classical or ab initio molecular dynamics simulations Experience with ionic liquids or molten salts
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computational and/or experimental structural biology involving protein design, molecular dynamics simulation, single particle cryo-electron microscopy, x-ray crystallography, or single-molecule FRET
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higher ionic conductivity [3]. Description of the work: To carry out the classical and ab-initio molecular dynamics simulation of metallic and other liquids and glasses to determine the origin of atomic
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, Alzheimer’s, and sickle cell disease, while also applying our techniques to molecular dynamics simulations of proteins and complexes. As a successful candidate, you will: Develop novel probabilistic network
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applying theory and simulation methods to investigate the ultrafast quantum dynamics in atoms, molecules and solids. We pursue an interdisciplinary research program that combines advanced theoretical
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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