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possession of a doctoral degree in the field of nature sciences (molecular biology, biochemistry), biomedicine and health (medicine, veterinary medicine) or biotechnology sciences (biotechnology, molecular
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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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 | about 1 month 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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online at: https://police.fiu.edu/download/annual-security-fire-safety-report/ . To obtain a paper copy of the report, please visit the FIU Police Department located at 885 SW 109th Avenue, Miami, FL
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–microbe interactions, and microbial pathogenesis. Research spans both cellular and molecular aspects of infections caused by bacteria, viruses, and fungi, as well as immune regulation of these processes
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entanglement. - Theoretical and Analytical Studies: Conduct theoretical and numerical analyses of superradiant molecular ensemble models, with thorough documentation of processes and results. - Simulation Code
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of CIMAP laboratory - Centre de recherche sur les ions, les matériaux et la photonique (Caen, France). She/he will be involved in research activities related to the SMILEI project (Storage of Molecular Ion
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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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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using