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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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, Computer Science or related numerate discipline. PhD or equivalent in at least one of the following subjects: Computer Science, Machine Learning, Biomedical Engineering, Physics, Applied Mathematics or other
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with an excellent track record in knowledge graphs and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph
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minute-taking. They will support the department with day-to-day operational matters, such as ordering general consumables, computer accessories, and stationery. They will also assist with general human
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, with competent computer use and strong interpersonal and influencing/ behavioural skills. Solutions-focused self-starter, with good prioritisation and organisational skills. Flexible team worker who is
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for. You should apply if We are seeking an enthusiastic and dedicated researcher with a strong track record in data analyses and a passion for machine learning and artificial intelligence in healthcare. You
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sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. We are the Examinations Team. We manage the
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these projects To engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems To disseminate the research
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designing machine learning algorithms for edge-enabled wireless networks is preferred. At King’s, you will join a research-leading and multi-disciplinary team REASON, including Dr Yansha Deng, Dr Vasilis
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Iacoangeli lead). The postholder will develop bioinformatics and machine learning methods to analyze large multi-omics datasets of patients affected by MND and controls. There will be a specific focus on the