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with sufficient statistical justification to proceed, given the available population and resources. The recommendations will also provide a tailored framework for sample size calculations specific
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exciting opportunity to lead innovative research at the interface of AI and clinical medicine, working within a 40-strong interdisciplinary team spanning AI, statistics, microbiology, epidemiology, public
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or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield
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relevant subject area, like Economics, Statistics, Maths, or other quantitative social sciences. Additionally, they must possess, or expect to receive a Master’s-level qualification, or equivalent, with
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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Statistical experience (as acquired through class or a research project) [For Latin America project only] Spoken and written Spanish (CEFR B2 level or above) Desirable characteristics: Existing insight
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, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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subject relevant to the proposed PhD project (such as mathematics or statistics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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of these three key areas: quantitative user studies, statistical modelling of human experimental data or human augmentation very good in scientific writing and communication skills very good knowledge