212 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at Cardiff University
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, with various start dates. If you have difficulty accessing a computer, please call 029 2087 6137. Benefits We offer a leading and rewarding staff benefits package: 32 days holiday per year plus 8 bank
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- Genetics of complex diseases - High Performance Computing - Big data manipulation and analyses - Analysis of rare genetic variants Knowledge of current status of research in biostatistics
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diseases - High Performance Computing - Big data manipulation and analyses - Machine Learning Knowledge of current status of research in biostatistics, bioinformatics, machine learning and
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- Research Assistant School of Psychology The Early Learning and Neurodevelopment (ELAN)lab is seeking to appoint a highly motivated Research Assistant to join an ambitious and innovative research programme
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activities by helping us implement our School education and research strategy. By leading and developing high-quality, research-led teaching in Orthodontics, you will help evolve the School’s postgraduate
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of direct labour and contractors Contract and Project Management Manage mechanical maintenance and compliance contracts, ensuring high standards of performance, value for money, and adherence to University
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technology. The post-holder will contribute to the research performance of the School and University by undertaking high-quality research in MRI data analysis and acquisition. This includes developing, testing
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coursework and exams, servicing examining boards and other meetings, and maintaining programme and module information and student records. Gather and review data to update administrative systems such as
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to the Director of Financial Planning and Performance and will provide strategic leadership and professional expertise for a portfolio of Transformation activities across the University, supporting and working
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closely with a PhD student and a computational biologist and play a key role in advancing our research efforts, with a primary focus on the development of low-input epigenomic profiling technologies