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Field
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential feature and a
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spectroscopy and microscopy and molecular dynamic simulations. We are searching for both experimentalists and simulators! Requirements: MSc degree in chemistry, physics, or related fields Previous experience in
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-motivated and talented students with passion for science, who wish to work towards a PhD in the fields of Molecular, Cellular and Clinical Allergology, MCCA. What we offer: Work on exciting scientific
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expected to know theoretical methods of ab initio electronic structure calculations and/or nuclear dynamics for small molecules and/or related topics in ultracold quantum many-body physics. We also expect
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experience with in vivo studies (artikel 9, proefdierkunde), flow cytometry, single cell technology (working in R), microscopical techniques and molecular biology is an advantage With proficiency in English
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, making a new model which is suitable for a variety of polymer systems. This will involve integrating molecular dynamics simulations, electronic structure calculations, and machine learning techniques
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 3 months ago
Job Offer from January 30, 2025 The Department of Molecular Simulations and Design (Prof. Dr. Matthias Stein) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting