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Field
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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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Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with
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Warwick Business School, The University of Warwick | Coventry, England | United Kingdom | about 5 hours ago
by researching and learning abroad as part of your PhD programme Preparation for a prestigious academic or research career Option to choose our Behavioural Science pathway. Course details: The MRes/PhD
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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Warwick Business School, The University of Warwick | Coventry, England | United Kingdom | about 5 hours ago
Develop yourself as an early career researcher with our prestigious Doctoral Programme at Warwick Business School, University of Warwick. Our fully-funded MRes/PhD Finance & Economics programme
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Engineering, Faculty of Engineering and Applied Sciences, Cranfield University, in the area of performance simulation, analysis, and optimization of supercritical CO2 power generation systems. Cranfield has
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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) in political science, communication science, economics, or in a computational discipline, as long as the candidate also has experience conducting research in a social science field. Apply by sending
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists