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and Immigration website . Full-Time, Fixed-Term (until 31 August 2028) The Department of Computer Science is seeking a Postdoctoral Research Fellow for the Leverhulme-funded project “Social Mechanisms
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world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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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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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and PalaeoGradPhan. Both projects focus on the relationship between ocean circulation and surface ocean...
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry