668 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at University of Sheffield
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix)
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households take up support to install “win-win” technologies, ensuring more affordable and sustainable energy consumption. It will use data sources such as Understanding Society and the Smart Energy Research
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engineers Opportunities to work with industry leaders at John Crane Ltd Access to cutting-edge lab facilities and real-world data A platform to publish in top journals and attend international conferences Why
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therapy. For more information, please contact Dr Twyman (l.j.twyman@sheffield.ac.uk) and see Dr Lance J. Twyman | Chemistry | The University of Sheffield Subject Area: synthetic chemistry, medicinal
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to discuss your interest in and suitability for the project prior to submitting your application. Please refer to the EPSRC DLA webpage for detailed information about the EPSRC DLA and how to apply. Funding
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particular, you will perform calculations to explain the experimental data and come to a molecular understanding to the reactivity of these molecules. Also, you will develop quantum dynamics methods and
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well as their biological activity. For more information, please contact Dr Twyman (l.j.twyman@sheffield.ac.uk) and see Dr Lance J. Twyman | Chemistry | The University of Sheffield Subject Area: synthetic chemistry
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assembled, studies to measure oxygen stability and reversible oxygen binding will then be undertaken. For more information, please contact Dr Twyman (l.j.twyman@sheffield.ac.uk) and see Dr Lance J. Twyman