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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
laboratory safety protocols. Strong written and oral communication skills and a record of scientific writing. DFT/MD modeling expertise. Familiar with Python and Linux Special Physical/Mental Requirements
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microscopic traffic simulation and visual analytics platform for Traffic Impact Assessment (TIA). Duties and Responsibilities The appointees will conduct research and development in one or more of the following
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of spintronics. Complemented with density functional theory (DFT) calculations to build scientific and technical competence as well as strengthen transferrable skills, this position provides you with the skills
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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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thesis research) of experience in DFT-based first-principles calculations. Strong written and oral communication skills are essential, along with the ability to work both independently and collaboratively
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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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. Simulations and selection effects for SN Ia cosmology and beyond (Lancaster University): lead the forward-modelling of the combined LSST+TiDES sample, and characterize its associated sample selection effects
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of machine learning and advanced molecular dynamics techniques for molecular simulations and to study Nucleic acids structures and their interactions. For more information, please visit https://nyuad.nyu.edu
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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lifetimes of spins on surfaces. This approach combines electronic states obtained via a periodic quantum embedding (i.e., equation-of-motion coupled-cluster in periodic DFT, pbcEOM-CC) with a coarse-grained