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Research Fellow in Computational Metabolomics to join the Centre for Environmental Research and Justice (CERJ) and the School of Biosciences at the University of Birmingham. You will be working in a vibrant
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Fixed term for 12 months Interview date: To be confirmed Are you an innovative problem solver looking for your next challenge? Are you interested in supporting the establishment of a worldclass excellent impactful multi-country research project? The University of Bradford is hosting an...
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(ECLS) is seeking to appoint a Programme Director at Lecturer level (for a 2-year period) with expertise in National Professional Qualifications, assessment design, educational leadership and/or teacher
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About the Role University Centre Leeds is looking for a Programme Manager to lead and manage our HE Children's Education and Health department. We are seeking a passionate and dedicated individual
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | about 2 months ago
leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence. The Department of Computer Science is expanding and aims to grow to 15-20 faculty
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Role: Research Associate in Statistical Machine Learning for Computational Imaging Grade and Salary: Grade 7, £37,174 - £46,735 per annum FTE and working pattern: 1 FTE, 35hrs per week, Monday
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2023 – 31st July 2024 and no longer be studying. As you are applying for a role as part of the Grow Your Own Graduate Programme, you will need to contact a member of the Careers+ team to receive support
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, Fixed Term contract up to August 2028 Closing date: 19th August 2025 UK and International travel may be required for this role Background The post holder will be required to carry out computational
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to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services
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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data