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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
looking for a highly motivated Postdoctoral fellow to work on accelerated molecular simulations and AI-driven drug discovery. Research projects in the Miao Lab include development of novel theoretical and
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, dynamically developing team, recognizable in its field of research possibility of conference trips collaboration with the best molecular spectroscopy teams no teaching duties remuneration amount: 140 000 PLN
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 minutes 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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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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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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, metabolic enzymes). Experience with developing protein binders (e.g. nanobodies). Experience with molecular dynamics simulations. Strong quantitative assay development/analysis skills; experience bridging
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include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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the research project We are seeking a highly motivated Postdoc to join our group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the
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the underlying principles. For us, it is equally important to study the impact of materials on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic