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Innsbruck (J.Phys.Chem.A2021,125,7662−7669) in an existing machine. The successful candidate will be responsible for the theoretical design (SIMION simulations), mechanical design (SOLIDWORKS), and final
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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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research programs foster a collaborative environment where groundbreaking discoveries are translated into real-world solutions. We are looking to hire a Research Assistant to join our dynamic team and
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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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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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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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system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and 3) high-performance
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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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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