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Field
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science to multimodal cancer research. The successful candidate will play a key role in the team research focusing on integrating diverse data modalities using advanced statistical and AI methods
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
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the link to our benefits website . What next This role is 36.25 hpw and is available from September 1, 2026 to August 31, 2028 with potential for continuation. Further information is available in the role
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and machine learning algorithms to analyse and interpret the acquired data. The successful candidate will work primarily with Dr Qimei Zhang in the Department of Engineering at the Nottingham Trent
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within the school of Chemistry and Chemical Engineering and contribute to a feasibility study for digital material intelligence for a circular space infrastructure. The post will be based within the School
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The University of Nottingham Ningbo China’s School of Computer Science is seeking to recruit a Research Fellow (in Computer Science; outsourced). About the Role: In this position, you will play a
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This job is only available to University of Leeds staff. It may be released externally should we not appoint internally. Research Fellow in Phage Display and Molecular Biology Are you an ambitious
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to ensure compliance and safe use of the technology Data capture, recording of data and report writing to a professional standard. The successful candidate must possess: Ability to work independently and as