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Summary A 3 year Bone Cancer Research Trist/GOSH funded Research Fellow post, starting October, is available within the lab of Prof. Clare Davies and Dr. Susanne Gatz investigating synthetic lethal
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under the direction of Professor Caroline Richards and Dr Rory Devine, alongside collaborator Dr Hayley Crawford at University of Warwick. The successful applicant will join Prof Richards’ team: https
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machine learning. Supervision will be provided by Prof. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Prof. Helen McGettrick. The successful candidate will have a strong background in psychology
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effects on behavioural pain responses using preclinical OA models. The appointed person will primarily be supervised by Prof Simon W Jones (Department of Inflammation and Ageing, University of Birmingham
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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and supporting research staff. Further particulars can be found here Informal enquiries to Prof Nicholas Barnes, email: n.m.barnes@bham.ac.uk View our staff values and behaviours here We believe
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of existing image analysis software and generation of bespoke algorithms for advanced image analysis. This will typically require coding expertise in languages such as MATLAB, R and/or Python and familiarity
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to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse