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Field
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developing and devising machine learning algorithms in an energy context Ability to assess research resource requirements, and use resources effectively, to plan and manage research activity Strong analytical
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 18 July 2025 Newcastle University invites applications for a Research Software Engineer to join the EPSRC
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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
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University you will develop, optimise, and oversee our analytics data architecture, tools, and pipelines. You will engineer solutions that allow for the efficient and reliable handling of large scales of data
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work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream settings
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position will work with researchers on the DASS programme to develop and promote freely available software, implementing new statistical methods and algorithms for identifying anomalous structure in stream
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are now embarking on an exciting project to transform clients’ experiences (museums and cultural institutions) and drive their service-level through the development of a novel automated optimisation