61 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions at Lancaster University
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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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through publications Please visit https://www.lancaster.ac.uk/jobs/dli-lecturers/ for more about the role and DLI How to apply: To submit an expression of interest, use the apply link but please first
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2026 Reference: 0989-25 Modalities for Understanding, Recording and Integrating Data Across Early life (MURIDAE) to elucidate the neurodevelopmental impact of schizophrenia risk genes We are looking
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for people who are: ✔ Qualified with a full and relevant Level 3 childcare qualification: check your qualification here: https://www.gov.uk/check-early-years-qualification ✔ Caring, reliable, and hard-working
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the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. The role is based at Lancaster University but will involve interaction with researchers across the hub and the UK. This is a
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competing deadlines, and the ability to work effectively within a team and across teams. Be able to present information accurately and communicate effectually with a wide range of people. Be able
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website - https://www.lancaster.ac.uk/jobs To find out more about joining our award-winning Facilities team and an informal chat about the role, or to request a paper application form, please contact
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each period faces a different context, breaking typical data assumptions. The focus of this role will begin with calibration, analysing distance metrics between simulated and system performance both
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benefits on our website - https://www.lancaster.ac.uk/jobs To find out more about joining our award-winning Facilities team and an informal chat about the role, or to request a paper application form, please
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at Lancaster on our website - https://www.lancaster.ac.uk/jobs For an informal chat about the role, please contact Prof Rebecca Willis (r.willis@lancaster.ac.uk ).