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day to day running of the Machine Shop to provide a comprehensive, enthusiastic and high quality technical service to staff, students and external customers, and to ensure continued safe and reliable
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activities. As a Computer Support Officer (Help Desk), you will provide friendly, responsive first-line IT support to staff, students and visitors. You will help resolve a wide range of technical issues, build
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Postdoctoral Project Research Scientist – Machine Learning, Machine Vision & Data Integration Reporting to: Andrea Serio – Group Leader Contract term: This is a full-time, fixed term (2-year
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We are looking to appoint a skilled Machine Learning Scientist (KTP Associate) in Multimodal Data Integration with a background in deep learning. This is an exceptional opportunity to work as a KTP
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Short summary We are seeking a Postdoctoral Project Research Scientist to lead machine learning, machine vision and data integration work across the VISIBLE platform. This is a rare opportunity to
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We are looking to appoint a motivated researcher to conduct computational research in the field of machine learning, specifically at the interface of large language models and statistical mechanics
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term...
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type Fixed term contract Fixed...
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Job id: 152786. Salary: £45,031 - £52,514 per annum inclusive of London Weighting Allowance. Posted: 15 July 2026. Closing date: 02 August 2026. Business unit: Faculty of Life Sciences & Medicine. Department: Res Dept of Cancer Imaging. Contact details:Dr Thomas Booth. ...
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-funded project. You will be part of an interdisciplinary team bridging the gap between machine learning and materials science to develop next-generation computing hardware based on nanoscale magnetic