363 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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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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Validation: Oversee the AM process and testing of 3DP ship hull and connector system. Data Collection and Analysis: Gather testing data during for design optimisation. Reporting and Documentation: Prepare
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Economic Research and Data (WISERD). This is an exciting opportunity to join a landmark UKRI-funded research project examining political attitudes and democratic engagement in Wales in the lead-up to and
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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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note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit
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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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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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, stakeholders, and the public to support the development and delivery of the research project. You will be involved in all aspects of the evaluation, including literature reviewing; data collection, analysis and
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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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will join a large team and assist with various aspects of research, including: (1) participant recruitment; (2) data collection; (3) data entry and data annotation; (4) project management; and (5