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R and experience with statistical analysis, machine learning methods, and high-performance computing. What we offer As well as the exciting opportunities this role presents, we also offer defined
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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safety in high stakes clinical environments. Our approach uses sensor technology, machine learning, simulation studies and advanced video analytics to enhance team performance under pressure in high-risk
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science with bioinformatic component. Experience working with high performance computing (HPC) with large data sets is essential. Experience with pipelines for genomic sequence analysis from raw reads. Relevant
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The postholder will support the researchers on the development of high-performance low embedded carbon, high recycled content aluminium alloy extruded components for incorporation in battery
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, acoustics and AI) community together, produce high-quality data resources that enable substantial advances in the development of technologies and science relating to sound and hearing, and foster a mindset
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. We are seeking to appoint a Faculty staff at Assistant Professor/Associate Professor level to conduct high impact research and to deliver outstanding teaching and student experience. The role is within
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Company Description London College of Contemporary Music (LCCM) is a specialist music school in Central London, that teaches degrees in music performance, music production and music business
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and performance data. This post is fixed term for 33 months and is based at Trinity House’s Harwich office. DUTIES OF THE POST The duties of the post will include: Becoming familiar with Trinity House’s
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- An Innovation, Impact and Business directorate that works closely with our academics, providing specialist support for external engagement and development - Our Exeter Academic initiative supports high performing