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electronically when significant events happen. We will then develop a large multi-centre maternity routine dataset for the first time. This will allow us to work out the best vital-sign-based early warning score
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FEM matches experimental data Use FEM to get large amount of data for machine learning Excellent learning ability Excellent communication ability Strong interest in machine learning Candidate should be
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and cellular biology, assist in sorting platform development, perform molecular and in vivo characterization of sorted cells, analyze large-scale bioinformatics datasets to identify novel cell subsets
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert. Please note that this post may be
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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love
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that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
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& Sciences Campus Main - Albuquerque, NM Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary We invite
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, GEANT4) will be an advantage. A background in radiation oncology or medical physics will be an advantage. Excellent written and verbal communication skills. Experience with cloud computing and big data
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academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission-driven