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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
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sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
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exercise science, human nutrition, human physiology, biochemistry, food science or a related subject. A relevant Master’s degree and/or experience in one or more of the above subjects will be an advantage
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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Time Closes: 31st July 2025 About the department The Department of Economics at City St George’s, University of London is a leading centre of excellence for research and teaching in economics. The
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made. The project will involve using routinely collected healthcare data and/or large healthcare datasets such as the Clinical Practice Research Datalink. This is an excellent opportunity for someone
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the Manufacturing Technology Centre (MTC). It is based within the Advanced Manufacturing Technology Research Group (AMTG) at the Faculty of Engineering, University of Nottingham, which amongst its wide research
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, including SuperMagdrive, operates using metallic propellant, offering density, integration, and safety advantages compared to conventional launcher propellants such as hydrazine. However, metal propellants
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship