113 algorithm-"Multiple"-"U.S"-"Prof"-"Simons-Foundation" "University of Wisconsin Madison" Fellowship positions in United Kingdom
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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driver for equitable, sustainable food systems in communities facing multiple forms of deprivation. Co-lead on work package 1: the planning, delivery and synthesis of participatory creative research
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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West Nilotic’, led by Matthew Baerman. The successful candidate will perform a key role in managing, processing and analyzing language data generated across the multiple teams that make up the project
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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the climate crisis while also demonstrating a strong background in communicating evidence and insights to multiple stakeholders. Please note that this post may be suitable for sponsorship under the Skilled
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of microbial genomics and develop computational tools with broad applications in biotechnology and biosecurity. The role involves collaboration with leading researchers across multiple institutions and will
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings