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                qualification) in Mathematics, or else a lower second class degree followed by a relevant Master's degree. This award is open to UK and International students. Deadline Applications submitted until 15 November 
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                evolution? How can philosophical and mathematical concepts refine our understanding of what we mean by life, leading to new interdisciplinary collaborations and modes of scientific enquiry? We have a fully 
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                Assessment Systems: Toward Trustworthy AI for Complex Educational Evaluation Image and Video Analysis Using Machine Learning Algorithms Mathematical and Computational Neuroscience, from neural data and network 
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                Science, Physiology, Mathematics or a related discipline. If you have a 2:2 or lower, you may still be eligible to apply if: you have a masters degree in a relevant subject you have three or more years of full-time 
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                and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics 
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                Open to: UK applicants only Funding providers: EPSRC CASE Conversion with GSK Subject areas: Applied Mathematics, Mathematical Modelling, Mathematical Biology Project start dates: 1 October 2025 1 
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                , mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential 
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                University) in Engineering or similar relevant science discipline. We also welcome applications from graduates in computational science or mathematics. Note for international and European applicants: details 
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                Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work 
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                , Engineering, Art, and Mathematics) teaching and research. We foster an interdisciplinary environment where researchers from art, design, and STEM—particularly engineering—collaborate. Through design-led