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Field
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of Computer Science and Informatics. This role offers a unique opportunity to work at the heart of a world-leading research hub, utilising our dedicated robotics chemistry laboratory and collaborating closely with
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We are seeking a creative and highly motivated postdoctoral researcher to join the CAIFE study, a joint project led by Professor Alison Noble (Institute of Biomedical Engineering) and Professor Aris
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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related field - Research experience in machine learning or computational chemistry - Interest in soft matter, biomaterials, or formulation science Exceptional candidates from related disciplines
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to reduce costs and support innovation to accelerate technology development and deployment for the tidal stream industry. The role is to develop computational tools for the hydrodynamic and structural design
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as
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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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a small amount of teaching to the department, of at most three hours a week during the academic terms. You will hold a relevant PhD or be near completion, in physics, mathematics, computer science
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methodologies to access complex silicon-containing building blocks relevant to drug discovery guided by computational chemistry. The successful candidate will devise and optimise synthetic pathways to novel
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interdisciplinary project between the Department of Biology, the Department of Computer Science and the Institute for Safe Autonomy at the University of York, UK. The post holder will be based in the Department