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Field
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increased risk of cardiovascular complications. Using molecular and genetic techniques in transgenic murine models, MPN patient-derived induced pluripotent stem cell lines, and primary patient samples, we
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materials discovery and machine-learning-accelerated materials simulation. You lead and guide the development of novel computational materials discovery and molecular simulation methods. You take a key role
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Bioinformatics expertise required for scRNAseq analysis. · Previous cell culture experience. · Perform molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental
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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
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, molecular dynamics simulations using ab initio and machine-learning potentials, and the development or application of machine-learning tools for feature extraction, property prediction, and inverse molecular
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, bioinorganic chemistry, structural biology, microbial genomics, biogeochemistry, molecular evolution, and synthetic organic chemistry that will allow the design of interdisciplinary experiments to test origins
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are seeking a highly motivated candidate to contribute to the development of new catalytic systems through computational simulations and theoretical studies. Main Responsibilities: Perform computational
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of strongly correlated electron systems on surfaces. A particular focus is placed on molecular spin systems, where you can harness quantum correlations of many-body spin systems, enabled by atomically precise
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synergies in life science with a focus on molecular and translational research, training outstanding young researchers, and stimulating cutting-edge research in Umeå. Patron for the programme is Nobel
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of an interdisciplinary team with backgrounds of medical doctors, animal technicians, biologists, and molecular biologists. Our research aims to translate basic science into improved patient care through close