307 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" Postdoctoral positions in United Kingdom
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/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote sensing
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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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, Computer Science, Physical Science, Engineering, Mathematics, Statistics, Data Science, or a closely related discipline. Key responsibilities Implementation of a new knowledge graph architecture in the form
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Health Translational Research Collaboration and which sits within a ground-breaking new Centre: Civic Health Innovation Labs (CHIL). M-RIC is an ambitious programme of work jointly delivered between
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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, psychology, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning