252 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at University of Birmingham
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and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
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University of Birmingham | Belfast International Airport, Northern Ireland | United Kingdom | 1 day ago
of Birmingham through our presence in Dubai. Professional Services Ethos Our ethos as a Professional Services team has been developed in line with the principles of being a Birmingham Professional . In particular
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to attract talented people from across the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading
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to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement
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Job Description Position Details Development and Alumni Relations Office Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £32,546
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work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full
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to generate bespoke algorithms for advanced image analysis. This will typically require coding expertise in languages such as MATLAB, R and/or Python; Proven ability to develop constructive working
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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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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings