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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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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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detection by mass spectrometry, by combining molecular dynamics simulations and experiments (Figure 1).1-5 The present PhD thesis will investigate the effects of additional specific ions in fluid samples
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knowledge of molecular biology. Project Background: Oral tissues constantly experience mechanical forces from mastication, orthodontic treatment, and disease. The junctional epithelium forms a critical
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(experience in high-pressure experiments, X-ray diffraction, or Raman spectroscopy would be an asset) -An interest in atomistic simulation methods (DFT, molecular dynamics, or related approaches) -Skills in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days 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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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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, physical chemistry, biophysics, or a related field (b) have proven experience of using software tools for computer simulations (e.g. quantum chemistry calculations, molecular dynamics, Monte Carlo
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/biological systems”, will employ analytical and computational multiscale modelling methods (molecular dynamics, stochastic dynamics, track-structure Monte Carlo simulations) to analyse key radiation damage
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simulations. Two complementary strategies will be employed: structure-based virtual screening (docking simulations + molecular dynamics) and ligand-based virtual screening (machine learning models). We have