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opportunity for a motivated scientist to unpick the impact of host factors on tumour structure. To lead this research as a doctoral student you will be passionate about using large-scale data to address
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | about 1 month ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by
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Deadline: 30 June 2025 A fully funded four-year PhD position is available to work on the project titled “Real-world quantum verification and benchmarking of noisy hardware”. This position is a
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motivation for completing a PhD (400 words/1 page) 2) A CV with information on education, previous research experience, together with authorized documentation of certificates and study records. 3
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with an associated test facility for railway components. The Division is furthermore fully competent and equipped technologically to undertake research work in the emerging areas of big data, predictive
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus Strategic thinkers with demonstrated interests in strategic games and/or competitive
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excellent logical reasoning and a passion for turning data into decisions Clear communicators in a fast-paced and highly collaborative environment Programmers comfortable processing and analyzing large data
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effusive and explosive activity. This PhD studentship is part of the NERC Large grant ‘Ex-X - Expecting the unexpected- Understanding Dangerous volcanic transitions’, and will study both historical and