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@exeter.ac.uk ) Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click the 'Apply' button Funding Comment Payment of tuition fees
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YBDTP you'll benefit from a regional doctoral training programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in biological
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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and modelling tools Person Specification: We seek a motivated individual with an interest in Earth Science and a desire to develop expertise in analytical techniques and modelling/basic programming
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the UKRI Home Fees for a Masters’ and/or PhD programme, and an annual tax-free stipend (valued at £22,780 in October 2025). As part of your award, you will be able to access additional funding to help cover
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physical techniques eg laser and optical instrumentation; computational/numerical modelling programming skills eg Python, FORTRAN, C++. Eligibility Open to both UK and International applicants, including EU
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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the systems-ML stack. This makes a cohort-based programme vital, treating ML Systems as a holistic discipline. Cohort interaction, and integration, give students real experience across multiple systems
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individual with strong laboratory and analytical skills and an enthusiasm for applying chemical knowledge to address environmental questions. Prior experience of programming is desirable. Eligibility
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related discipline. Good programming skills (e.g., Python, PyTorch, TensorFlow). A genuine interest in pushing the boundaries of efficient and deployable AI. Prior research experience (e.g., project work