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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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rehabilitation programme for people with MS with mild or moderate cognitive problems. The successful candidate will join an established multidisciplinary team of clinical researchers, led by Professor Roshan das
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in research aligned to Stroke Medicine. You will contribute to the strategic research goals of the School of Medicine by developing and maintaining an internationally excellent research programme that
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of building complex data transformations at pace Drive Data Quality and identify areas for continuous improvement, working with other teams to identify process changes and technology requirement Identifying
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career paths and career progression. An excellent holiday allowance of 27 days (pro rata), plus additional university closure days and bank holidays Employee Assistance Programme and Counselling Service
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a