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settings and thus improve hearing aid outcomes. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary
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. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary assessments (EMA), and passively monitored
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension contributions Discounts at restaurants, shops & more Outdoor
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The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
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of Management to develop teaching programmes, and teach and support learning; Use a range of delivery techniques to enthuse and engage students; Will have evidence of excellent teaching identified by peer review
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experiential learning programme; and the King's Academy, which leads pedagogical innovation in the AI era. Working across nine distinctive faculties, you will champion educational excellence and broader student
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projects to life. The Role This is a hands-on role at the heart of our Wood workshops. You’ll be guiding students through the possibilities of working with timber — from traditional hand and machine
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, maintenance and monitoring (with the Co-DClinPsy Programme Directors) of teaching and learning strategies and academic standards for the DClinPsy. The post holder will also contribute directly to teaching and