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-minded institution with a relentless focus on delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A
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of developmental, cell and molecular biology Ability and willingness to learn new skills and undertake further training and development aligned to the role, which may include working with laboratory animals
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specialist areas such as programming for finance and machine learning. You bring experience delivering high‑quality learning both online and in person, using digital tools and real‑world applications to bring
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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service, has an appetite to learn, is keen to understand and support a wide range of technology and has outstanding written and verbal communication skills? We’re looking for an enthusiastic, customer
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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of course content, the creation of engaging and innovative learning experiences, and ensuring all teaching meets School and University quality standards. The post holder will also supervise dissertations
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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications
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engineering Antennas and propagation Electromagnetics Radar and sensing Communications systems Spectrum, interference and regulation Embed RF learning within NMITE’s challenge-based pedagogy Lead programme