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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and computational methods and AI techniques for accelerated simulations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Department of Pharmacology at the University of North Carolina – Chapel Hill (http://miaolab.org ) is looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI
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, Germany, where you will further develop your MD expertise and contribute to joint AI-driven research initiatives. Your core emphasis will be on long-timescale Molecular Dynamics (MD) simulations for large
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, Ultra-cold gases, quantum optics, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological
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the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European
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– Institute for Clinical and Molecular Biology (IKMB; https://www.ikmb.uni-kiel.de ) and Kiel Microbiome Center (KMC; https://www.uni-kiel.de/en/centres/kmc ) at Kiel University in Northern Germany. The Center
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a dynamic and ambitious research group with a strong focus on genetic, molecular, and functional analyses of B cell and antibody responses. The project will include laboratory-based research
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, molecular dynamics) to investigate physical properties and phenomena in nanomaterials. Analyze and interpret computational results; prepare high-quality manuscripts and research reports. Present research
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Theory , Atomic Molecular and Optical Physics , Atomic Physics , Atomic, Molecular, and Optical Physics , atomic-molecular-optical physics , Atomic/Molecular Physics , Biological Physics , Biophysics
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/InstituteGulbenkian Institute for Molecular MedicineCountryPortugalState/ProvinceLisbonCityLisbonPostal Code1649-028StreetAv. Professor Egas Moniz - Edifício Egas MonizGeofield Contact City Lisbon Website https