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functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model the molten salt
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PhD student will thus obtain competences within ecological interactions, molecular techniques, and analytical methods of chemical ecology and experimental manipulations of plants, insect, and fungi. We
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our
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modification readouts from large transcriptomic datasets. The first position will focus on modelling single-cell datasets to unravel the regulatory dynamics of RNA modification. The second will focus
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susceptibility testing, and molecular methods like PCR and DNA extraction. Other important criteria are: • The grade point average achieved • Professional qualifications relevant to the PhD project • Previous
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glucose disposal. We strive to understand the molecular basis for ADPr in skeletal muscle insulin resistance, and we are looking for candidates who are motivated to integrate data available from high