589 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships in United Kingdom
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training will be provided. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods. There is flexibility to tailor the research to your
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desirable. Entry requirements At least UK equivalence Bachelors (Honours) 2:1 or UK equivalence Masters degree. Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is
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for more information. Eligibility Applicants must meet the following eligibility criteria to be considered for the scholarship: Priority for the scholarships will be given to students from low socioeconomic
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Spärck AI Graduate Scholarship Named after pioneering British computer scientist Karen Spärck Jones, the Spärck AI Scholarship programme is a government funded initiative which provides full funding
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Important information Scholarships are reviewed on a regular basis and the university reserves the right to withdraw, amend or introduce new scholarships at any time. Scholarships are offered subject to
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that they have the relevant qualification. You don’t need to apply and will receive the scholarship in the form of a tuition fee reduction during your first year. Applicable courses Important information
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criteria: Knowledge of the molecular basis of ageing, muscle physiology, or the circadian clock. Experience or strong interest in data science, machine learning, or bioinformatics. Exposure to high
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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and in-depth information about their vision. This could lead to a paradigm shift for monitoring vision in patients with MS – enabling earlier and more reliable detection of vision-related manifestations
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | about 2 months ago
industrial policy. Evidence will be generated using firm-level data and ownership information on UK multinationals and their subsidiaries. The successful candidate will contribute to a growing field with