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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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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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, 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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Closing Date: 9 January 2026 The context Are you considering pursuing a PhD in Built Environment to help create a better world? Look no further than Edinburgh Napier University. Ranked as the top modern university for research power in Scotland, Edinburgh Napier also holds the 10th position...
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The Context Are you considering pursuing a PhD in Applied Informatics to help create a better world? Look no further than Edinburgh Napier University. Ranked as the top modern university for research power in Scotland, Edinburgh Napier also holds the 10th position among young universities in...
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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
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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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along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative
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expected to receive a first or upper-second class honours degree in anEngineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work