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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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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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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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, 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
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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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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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research institutes. Supervisors: Dr. Ashley Fraser, School of Computing and Communications Dr. Jessica Jay, School of Mathematical Sciences Dr. Dan Fretwell, School of Mathematical Sciences Qualifications