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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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battery systems or distributed energy resources. This will include benchmarking data models, and deploying and testing these techniques in real-world, large-scale deployments. Contributing to setting
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week, of small group teachings and tutorials. The person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and
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Description of the workplace The research group includes oncologists, pathologists, and basic scientists. After more than a decade of translational studies and large-scale analyses
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inflammatory diseases including diabetes, cardiovascular, and Alzheimer’s disease. Successful candidates will lead projects using multi-omics datasets from large sample sizes of disease relevant tissues/cells
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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Postdoctoral fellow with expertise in Cryo-EM data collection, data processing, generation of cryo-EM
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. We would be thrilled if you would consider joining our thriving University