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Job Description Position Details School of Mathematics Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
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Salary: Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149 Contract Type: Fixed Term contract up to September 2027 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities...
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Job Description Position Details School of Mathematics Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
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collaboration with the world-leading Briscoe lab at the Francis Crick Institute. It is using mathematical and machine-learning methods to study the early development of the neural system and developing those
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This new post is available from 1 August 2025 on a fixed-term basis until 23 June 2026. The post We seek to recruit a new full-time Postdoctoral Research Associate or Fellow to use mathematical
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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University of Sheffield, School of Mathematical and Physical Sciences Position ID: MPS -TT_IRF [#26555] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Sheffield
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, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded methodology project
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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to be agreed with the successful candidate. We invite applications for a Postdoctoral Research Associate to join the OCEAN project (On intelligenCE And Networks: Mathematical and Algorithmic Foundations