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of Computing, Engineering and the Built Environment , the largest of the five schools at Edinburgh Napier University. With a practical focus on adding value to the social, cultural, and economic capital of
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related to early detection and chromosomal instability in cancer. A background in computational biology, mathematics, or computer science is preferable, though we welcome applicants with relevant biological
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(or equivalent) in: Engineering (Mechanical, Materials, or related disciplines) Physics, Chemistry, or Applied Mathematics About the Leonardo Centre:www.sheffield.ac.uk/leonardocentre The Leonardo Centre at the
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second class UK honours degree or equivalent in a related discipline, such as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, reporting
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challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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Job Purpose You will contribute to/ lead a project “Comprehensive assessment of the biology and public health importance of Anopheles stephensi in Africa (AnoSTEP Africa)” working with Prof Heather
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
. School of Business and Management Dr Gül Berna Özcan School of Engineering, Physical and Mathematical Sciences Dr Elizabeth Quaglia School of Humanities Professor Andrew Jotischky School of Life
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the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline with strong quantitative components