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for candidates to have the following skills and experience: Essential Criteria PhD in Psychology, Behavioral Science, Epidemiology, or a closely related field, with a strong emphasis on military health* Expertise
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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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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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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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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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of wellbeing and social justice, perhaps using machine learning, digital technology and advanced modelling skills. The successful candidate will have a PhD in a relevant development studies discipline and will
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the use of imaging analysis software (Image J, QPath, Imaris, MATLAB, machine learning) Expertise in bioengineering, biomaterials * Please note that this is a PhD level role but candidates who have
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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
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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