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research in neuro-symbolic AI, with a focus on using generative and agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process
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agentic AI, as well as AI standards to create trustworthy information resources. This includes the design of algorithms, tools, and process for knowledge workers to better organise knowledge bases and
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data from preclinical models with analyses of human samples to identify pathways that may contribute to maladaptive inflammation. They will be responsible for designing and implementing experimental
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to identify pathways that may contribute to maladaptive inflammation. They will be responsible for designing and implementing experimental studies, contributing to analytical and interpretative efforts across
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to apply cutting-edge techniques, to address fundamental questions in immunology. You will design and conduct experiments, analyse complex datasets, and contribute to high-impact publications in a
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level of urgency as scientific and technological innovation in climate action. It will generate distinctive empirical data and foster interdisciplinary expertise, ensuring that the post-2030 UN
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reproductive politics and/or pharmaceutical innovation and regulation. Desirable criteria Demonstrated interest and expertise in abortion and contraception research. Demonstrated interest and expertise in
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Department champions the discipline of Chemistry across King’s, leading with its own research and teaching, and encourages close interdisciplinary collaborations. Our PGT and UG programmes have been designed
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research data effectively. Excellent organisational and time-management skills. Academic expertise in reproductive politics and/or pharmaceutical innovation and regulation. Desirable criteria Demonstrated
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reproductive politics and/or pharmaceutical innovation and regulation. Desirable criteria Demonstrated interest and expertise in abortion and contraception research. Demonstrated interest and expertise in