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at FHEQ level 7 (Master’s level) across AI foundations and machine learning to learners from varied academic and professional backgrounds. Ability to develop and deliver high quality and innovative teaching
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. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
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development, machine learning, public interest technologies, digital literacy, sensors, networks, or other EPSRC-relevant technologies. One week you might prototype a low-cost data collection tool; the next you
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the Imperial Small Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, as well as MRI imaging studies including respiratory
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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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of the FE STEM curriculum Oversee the cross-college delivery of GCSE Maths and English Drive improvements in teaching, learning and assessment Monitor performance metrics and lead quality improvement
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, teaching, learning and assessment, student experience and organisational performance. The successful candidate will lead senior FE leaders to drive innovation, continuous improvement and outstanding learner
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. Key Responsibilities Provide strategic leadership of Service Sector curriculum provision Lead the development of an ambitious curriculum from Level 1 to Level 3 Drive improvements in teaching, learning