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conditions. By studying these dynamics, we hope to uncover novel roles of lncRNAs in mitochondrial function and cellular adaptation. Additionally, the project will explore interactions between mitochondria and
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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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. 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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phonon eigenvalues and transport properties using computational methods (density-functional theory, molecular dynamics, and finite-element simulation). It predicts the intrinsic phononic features
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to leverage molecular dynamics simulation develop methods to determine the partitioning with relevant surfactant systems. The project will further be extended to studying the interaction of different additives
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– Molecular-Scale Modelling This PhD position focuses on molecular-scale computational modelling of polymer-hybrid anion-exchange membranes. The project involves DFT, molecular dynamics, and Monte Carlo
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dynamics directly from single-cell RNA-seq, then connect these CIN signals to (i) the molecular programs that allow tumor cells to tolerate genome chaos and (ii) actionable vulnerabilities that could improve
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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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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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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