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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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cluster) for REF 2014 was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark
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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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expertise in deep learning and spatial biology within the field of translational cancer research. The project will entail algorithm development and deployment of deep learning approaches
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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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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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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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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