859 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships in United Kingdom
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infrastructure. Validation of the technology will involve liaison with leading conservation organisations, including the Mersey Gateway Environmental Trust. Project aims and objectives The aim of project
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please
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for career development in environmental science. For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b15-a-multi-scale-quantitative
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Engineered biochar – a
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Requirements We are seeking enthusiastic, curious, and motivated individuals with: A strong academic background in computer science, artificial intelligence, machine learning, data science, engineering, or a
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With Wales being a bilingual society, it
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Faculty of Health, Science and Technology 3 Year, full-time PhD studentship Eligibility: Home UK/EU and International applicants Bursary p.a: The stipend is at the UKRI rate (currently £20,780
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis