291 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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Candidate For this role, we require a talented researcher to undertake both experimental and model research work. Working knowledge of tablet design, imaging data collection and analysis, computer modelling
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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About the role – The role is part of a large collaborative project Ocean Refuel (Home | Ocean REFuel) looking to use hydrogen from offshore renewables and optimise its use in a decarbonising UK energy system . Your focus will be to explore (computationally) the most promising processes to form...
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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
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of final year projects (FYP) or capstone projects students under the Project PI. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope
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computers”(under the UKRI Guarantee scheme). Topics include: Quantum many-body dynamics Quantum algorithms Quantum-enhanced numerical methods Quantum machine learning Tensor Networks Topological order The
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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(field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil, particularly roots (i.e. rhizosphere collection and root traits). You will have a