246 algorithm-development-"Prof"-"Prof"-"Prof" positions at University of Birmingham in United Kingdom
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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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-leading database of MRI images of childhood tumours and have developed AI approaches to diagnose different types of tumour. To be useful for patients, this needs to be delivered in hospitals in real time
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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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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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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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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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
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to £55,755 with potential progression once in post to £62,728 Grade: 8 Part Time (18.75 hours per week) Permanent Closing date: 14th August 2025 Academic Development Programme - new Assistant Professors will