650 phd-in-architecture-interior-design-built-environment Postdoctoral positions in United Kingdom
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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supportive environment of the Centre for Craniofacial Regeneration and Biology at King’s College London, based at the Guy’s Hospital campus. About the role This position in the Green lab is to complete a BBSRC
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systems with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation
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morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential. Our
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available from 1st September 2025 for one year in the first instance. The successful applicant will plan, conduct and analyse qualitative ‘think aloud’ interviews with those living with multiple long-term
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activities promoting research impact. contribute to the design, development, and implementation of robotic and AI systems within the scope of the project. collaborate closely with industrial and academic
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opportunities for applied research, semiconductor technology development, and industrial collaborations. As the selected PDRA, you will be simulating, designing and developing terahertz devices that rely on novel