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through various channels, including email, one-on-one meetings, and an online studio space. You will work closely with the course and module leaders to enhance the student learning experience. The role
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is funded by EPSRC, titled “Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine Learning”, involving academic investigators from 3 institutions (Imperial College London
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the Northeast
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, engage with research that will inform teaching, and actively support recruitment and outreach activities, such as open day and school liaison events. You will teach across our BSc Geography and BSc
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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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underpinning behaviour (e.g. neurophysiology, metabolism). We are particularly interested in applicants with expertise and research interests animal-inspired robotics, social and collective behaviour, machine
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, including solid-liquid interfaces, rheology, fluid dynamics across scales, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in
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Electrical Engineering or Fluid Mechanics. We welcome applications from those with research and teaching interests in the broad field of electrical engineering, power electronics, machines and drives. We
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proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building