47 algorithm-development-"The-University-of-Edinburgh" Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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high-quality laboratory research to develop and test novel diagnostic methods for heavy menstrual bleeding. They will work closely with clinicians, research nurses, and study participants to integrate
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Computational Chemistry to develop accurate models of time-resolved X-ray photoelectron spectroscopy (TRXPS) experiments of gas phase molecules. The successful candidate will be based in Southampton and work in
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. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote sites; install instruments, data loggers and transmission systems; and analyse and interpret data. We
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to cutting-edge international research with real potential to transform diagnosis and care in women’s health. The post holder will undertake high-quality laboratory research to develop and test novel
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child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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”, funded by National Grid Electricity Transmission (NGET). This project aims to revolutionise noise mitigation for high-voltage power transformers by developing acoustic metamaterials-based treatments made
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complex health and social care challenges, particularly in the management of long-term conditions. We combine AI and traditional epidemiology with qualitative methods to develop impactful, real-world
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for high-voltage power transformers by developing acoustic metamaterials-based treatments made from sustainable and durable materials that can be retrofitted to existing transformer enclosures. Transformer
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you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test