392 data-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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enabler for surgical treatments. The role will primarily involve construction and evaluation of hardware, data collection, data analysis and writing scientific papers/reports. In addition, there will be
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positively in the research activity of the NIHR Mental Health Leadership Award, focusing on children and young people, under the direction of the Mental Health Leader. Data collection and analysis, vital
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College For further information with the link to the application system, please click on the 'Apply' button above
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for the Expansion of Wellbeing Archaeology (KNEWA). KNEWA will run for 1 year, it will collect and compare data on policies and delivery of WA in England, Denmark and Italy to advance understanding of what works in
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with
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collaboration, and assisting with the preparation of a competitive large scale funding application to a major external funder, including coordination of supporting documentation, budgeting information, and
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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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, atmospheric neutrinos and astrophysical neutrinos. The Lancaster group has significant roles in the development of the simulation software framework, data acquisition and trigger systems, and sensitivity
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels