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Transport? Based in the Institute for Transport Studies at the University of Leeds, you will primarily contribute to the modelling and simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy
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of Leeds and Northumbria University. Participants from the Northeast and Yorkshire and Humber will be included. Fieldworkers will visit 40 primary schools in total across the two regions to observe and
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your career in one of the world leading research institutions in Transport? Based in the Institute for Transport Studies at the University of Leeds, you will primarily contribute to the modelling and
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Location: Leeds - Main CampusWorking time: 37.5 hours per weekContract type: Fixed term (Starting from 1st January 2026 until 31st August 2028 - to complete specific time limited work) Are you an aspiring researcher willing to contribute towards digital transformation of healthcare benefitting...
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Leeds Institute of Cardiovascular and Metabolic Medicine Faculty of Medicine and Health Are you an ambitious researcher looking for your next challenge? Do you have a background in reproductive or developmental biology? Do you want to further your career in one of the UK’s leading...
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Are you an aspiring researcher willing to contribute towards digital transformation of healthcare benefitting patients by making the clinical interventions safer, faster and effective? The project is aimed at technical innovations in computer vision and computer graphics (segmentation,...
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Applications are invited for the prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. This 1-year appointment at Imperial College
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are needed to create an enabling environment in which healthy low-carbon transport schemes can be implemented. This post is based at the University of Leeds and will work closely with a interdisciplinary team
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at the University of Leeds and will work closely with a interdisciplinary team of researchers, spanning a variety of disciplines from clinicians, economists, engineers and social scientists, across the University
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...