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reviews and meta-analyses. Contract type: Open-ended with fundinguntil 31/12/2027 (start 01/01/2026) Work pattern: Full-time/ 1 FTE Grade: Grade J/Pathway 2 Salary: £43,482-£50,253 per annum School/Unit
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-scale Logistics. Our vision is that local production, distribution, and reuse of goods using robot swarms will enable a more sustainable future through reduced transport emissions and waste. This vision
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Akamai, BT, Meta, Netflix, and Sony, you will investigate the environmental impact of future AI and video technology and propose solutions to mitigate it. Leveraging your existing expertise in energy
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stiffness composites Implement bespoke optimization algorithms combining shell geometry and fibre distribution accounting for nonlinearity and uncertainty Conduct optimization studies and oversee
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probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through bringing together world-leading researchers
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to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
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researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems. You will find this work exciting if you: Want
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) substantially increased understanding of obesity’s importance in cancer aetiology, identifying complex links between the anatomical distribution of adipose tissue, metabolic dysfunction, and cancer risk. We
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. In particular they will play a leading role in algorithm emulator development and maintenance as well as coordinating the definition and testing of interfaces to the Level-1 Trigger system. It is
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent