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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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and its stakeholders. You should hold a Master’s or PhD (desirable) in Computer Science, Artificial Intelligence, Machine Learning or a closely related field. We are looking for a candidate who has
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, Design and Architecture of Microservice Design, Software Engineering for Machine Learning, Code Analysis/Generation for Machine Learning and MLOps, and Continuous Delivery and/or MLOps. You participate in
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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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, 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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-solving activities that support the students in achieving the course intended learning outcomes. To offer assistance and advice to students as appropriate, including the provision of detailed explanations
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or more of the following sub-disciplines: Cybersecurity; Cloud Computing; Computer Programming (C++, C#, python); Software Development; Mobile Application Development; Artificial Intelligence, Machine
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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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benefits package including: 36 days holiday, pro rata for part time (inclusive of Christmas closure and bank holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking