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sustainability. We develop functional fiber materials with specific photonic and electronic properties by polymer molecular engineering and fiber structure design. Together with advanced textile technology
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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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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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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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on the Aragona lab can be found at: https://renew.ku.dk/research/aragona-group/ Our group and research The team studies the molecular mechanisms that dictate stem cell identity and govern stem cell fate in
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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
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 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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(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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, 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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recrystallization and control nucleation for biomedical applications in e.g. heart and kidney cryopreservation. Where to apply Website https://www.academictransfer.com/en/jobs/359905/phd-in-de-novo-design-of-ice-bi