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Are you interested in developing AI methods that can make physics simulations orders of magnitude faster? If the answer is yes, please continue reading! Join our team! The University of Amsterdam
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the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications. Experience in Atmospheric Water Harvesting, metal organic framework modelling and machine learning
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Sciences Division (CSD), Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL). The postdoc will perform molecular dynamics simulations, statistical mechanics (e.g., rate theory) and
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initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic excited states. Further, we use and develop classical and quantum dynamical methods to explain
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cardiovascular diseases. Currently, we are studying mitochondrial calcium signaling and how it is altered in heart, liver, and kidney failure. Our research employs techniques in molecular and cellular biology
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processes at the molecular level. This project aims to explore a new approach for the electrochemical characterization of a small number of redoxactive and enzyme molecules that will be pushed toward
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spectroscopies (specifically photoelectron spectroscopy) with time-resolved and operando measurements. Such methods can give insights into the dynamics and energetics of the photon-to-electron conversion process
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/andreas-kohler/ Project description While protein quality control (PQC) systems for mitochondrial proteins encoded by nuclear DNA are well studied, the molecular basis of PQC for mitochondrially encoded
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intensive multi-cellular agent based models (ABMs) of Epstein–Barr Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists
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is modelling and optimization using molecular dynamics and machine learning. The position is part of a team looking at these fascinating systems from their fundamental properties and making them in