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decarbonisation is essential if the UK is to meet statutory greenhouse gas (CO2e) emissions targets. Historically, CO2e emissions reduction measures have not systemically considered physical and mental health
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- Life Sciences: Genomics, precision medicine, bioengineering, and health data science - AI and Digital: Machine learning, robotics, digital health, and cybersecurity - Defence and Advanced Manufacturing
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to recycle plastics using a novel microwave-assisted catalytic upgrading technology. The project is funded by the Engineering and Physical Sciences Research Council, and involves project partners
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The emergence of edge AI systems—AI deployed on resource-constrained, often battery-powered, devices at the edge of the network—presents critical security challenges. These systems are increasingly
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and inequalities. We aim to transform the lives of communities through pioneering research in the following areas: Social economy Economics of health and wellbeing Community development, citizenship and
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely
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More Results Research Fellow (Food Science & Technology / Chemical Engineering) - Project (SL2) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 17 Jul 2025 View more
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Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta