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. To do so, you will combine atomistic simulations (density functional theory and ab-initio molecular dynamics simulations) with new machine learning models to parameterize machine learning force fields
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behaviour, bridging the gap between molecular simulations and rheology. This interdisciplinary project will provide valuable insights into micellar dynamics, surfactant self-assembly, and nonlinear rheology
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research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact
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for catalysis of sustainable chemical processes. Visualizing Chemical Dynamics in Real Time Apply advanced atomic-resolution imaging and image analysis to uncover surface dynamics, reactivity and molecular
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resistome, i.e. all antibiotic resistance genes (ARGs) circulating in the gut, determine the microbiome dynamic, i.e. how an individual’s gut microbiome will respond to and recover from an antibiotic therapy
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for catalysis of sustainable chemical processes. Visualizing Chemical Dynamics in Real Time Apply advanced atomic-resolution imaging and image analysis to uncover surface dynamics, reactivity and molecular
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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will develop and benchmark approaches that infer copy-number changes and CIN dynamics directly from single-cell RNA-seq, then connect these CIN signals to (i) the molecular programs that allow tumor
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A PhD position is available at SLU's Department of Forest Mycology and Plant Pathology, which provides a dynamic and international research environment with scientists conducting research on plant
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations