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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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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is
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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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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
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communities. These facilities create a unique offering in higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners, and provide a data
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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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Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, and the ability to distil technical concepts into academic and/or policy writing are also essential
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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