141 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions at University of Manchester in United Kingdom
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broadly). Coordinate internal and external audits, ensuring full compliance and timely resolution of findings. Develop and maintain robust financial controls and reporting frameworks for research grants
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Overall Purpose of the Job: The aim of the role is to develop and deliver integrated and effective Research Services (RS) to service users that maximises our ability to attract researchers and
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the world for social and environmental impact, the University is committed to delivering research and education that benefits society and advances the UN Sustainable Development Goals. As one of the few
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, resources and capabilities within both ecosystems. Communicate successes, opportunities and insights through digital engagement and storytelling. Capture impact and feedback to help shape the evolution
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Overall Purpose of the Job: To provide clerical and administrative support for the Centres for Doctoral Training (CDTs) in Developing National Capability in Materials 4.0 and 2D Materials
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counterparts, encompassing joint research, knowledge transfer and exchange of best practices. Research in TAICHIP consists of developing advanced design methodologies for energy-efficient and reliable AI chips
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adopters to evaluate how these coatings affect satellite system design, cost, and mission performance. The role will involve developing system-level models to quantify platform- and mission-level benefits
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the development and prioritisation of progressive employment policies. This is an exciting time to join the team as we move closer towards a partnership model with our Trade Unions, working on co-creation and
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genes to cause and exacerbate chronic inflammatory diseases. The purpose of the fellowship is to enable an experienced postdoctoral researcher to develop an independent research programme and generate
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a central role in the development and adaptation of the next generation of biomedical foundation models, large-scale, domain-aware LLMs capable of reasoning across biomedical literature, clinical