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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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computational approaches for investigating molecular interactions, such as density functional theory (DFT) simulations. Familiarity with machine learning approaches applied to spectroscopic datasets. Good
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, machine learning potentials, molecular dynamics, and related methods. Your specific tasks are: Simulate materials surfaces and SAMs using density functional theory and molecular dynamics Develop machine
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focused on ultrafast spectroscopy of chiral molecular ions, combining expertise in physics, chemistry, engineering, mass spectrometry, and ultrafast science. The position is offered through a collaboration
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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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an advanced RAMSES code that includes time-dependent chemistry and radiative cooling. These simulations will self-consistently follow the transfer of mechanical energy, molecular excitation, and resulting
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numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
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Range $15.61-24.99/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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advanced experimental models to investigate these processes. The work integrates human cell-based models, advanced 3D multicellular systems, molecular and functional characterization, and omics-based
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Director of Centre of New Technologies of the University of Warsaw, with the Project Leader, announce opening of the competition for the position of Student in the Materials and Processes Simulation