49 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Birmingham
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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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ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision, with our Collaborative Teaching
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven ability to collaborate
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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testing of machine learning/AI algorithms Integration of radiomic and biological datasets Working closely with Medical Physics colleagues on reviewing recommendations for detection of specific metabolites
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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be required for this role Background The post is a fixed term (until 31/03/2026) Research Fellow position working on the Faraday Institution ReLiB Project. The Faraday Institution vision is to
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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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, natural sciences, computing, physics, informatics or computer science and normally, a higher degree in bioinformatics, statistics or machine learning either of eukaryotic hosts or microbiome Basic