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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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, Qatar, Canada and the UK. The successful applicant will be based in the Department of Geography of Environmental Science, Queen Mary University of London, UK and work under the supervision of Professor
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450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally
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institutes. This position is based in the Centre for Combinatorics, Algebra & Number Theory. Other Centres include the Centre for Data Science, Statistics and Probability, the Centre for Geometry, Analysis and
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approximately 425 staff based in five academic Centres and one Public Engagement Centre, and supports a combined total of c700 postgraduate research and taught students. The Institute aims to deliver excellence
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liquids, including by nanofiltration and pervaporation. The successful candidate will seek to develop new fabrication techniques for membranes based around phase inversion, interfacial polymerisation, and
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and stroke in Sierra Leone (SL). We will support the Ministry of Health SL by collecting the data necessary to design evidence-based interventions. The role will be responsible for supporting MRC SLASH
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more than 450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally
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of Population Health harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre of excellence in population health and
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transcriptomics and high-dimensional tissue imaging, run CRISPR-based perturbation assays and functional assays to reveal mechanistic insights and work closely with computational and clinical fellows in a highly