66 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leeds
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the project and employ High Performance Computing, Python programming, DFT calculations and ML algorithms to deliver the objectives of the project. Holding a PhD in Chemistry (or have submitted your thesis
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the surgical teams of tomorrow? Do you want to use your skills to help grow an exciting co-operative venture between the University and the NHS? The CADSIM (Cadaveric Surgical Simulation) Programme provides high
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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Eligibility: UK Only Funding: EPSRC Doctoral Landscape CASE Competition Award in collaboration with DeepWater EU Ltd, providing full academic fees, together with a tax-free maintenance grant at the standard UKRI rate of £20,780 per year and an additional top-up of £4,000 per year for 3.5...
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Are you an experienced technical professional with a background in medical or biological engineering? Would you like to support world-class research in biomaterials, biomechanics, and tissue
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Are you a post-doctoral researcher with a PhD in public health engineering and at least five years professional experience working in sanitation? Are you interested in improving the cost-efficiency
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Senior Research Fellow (Grade 8) or Associate Professor (Grade 9) in Evidence Synthesis and Decision Modelling Faculty of Medicine and Health, School of Medicine, Leeds Institute of Health Sciences
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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research mission. We design, build, and support the advanced platforms that power computationally intensive research in High Performance Computing, Artificial Intelligence, Bioinformatics and Data Science