106 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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, together with evidence of managing cash-handling/reconciliation processes. Previous experience working with computer-booking systems would be desirable. The role is key to ensuring a first class and seamless
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of managing issues with sensitivity and handling information confidentially. You are committed to lifelong learning, and you have Level 3 educational qualifications (such as Access to HE, BTEC, or A-levels) or
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embedding emerging technologies, including AI, automation, immersive learning, and advanced analytics to enhance education, research and operations Oversee secure, resilient and high-performing digital and IT
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to deliver our ambitions in terms of building a culture of continuous learning, embracing an innovative research environment and supporting the employability of our researchers. We are seeking an enthusiastic
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performance in the Foundations for Practice Phase, collaborating with local Learning Education Providers (LEPs) and monitoring students through electronic portfolios. You will also play a role in monitoring
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on the study of advanced manufacturing technologies and system design. It is supposed to design the manufacturing system and study the material machining performance through different techniques in detail
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The role holder will provide a consistently excellent standard of teaching and support for student learning that is underpinned by research and knowledge exchange in the fields of Architectural
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. You will also need an ability to teach and pass on knowledge and experience as a practice educator. This is a full time, permanent position. Further information is available in the role profile
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teach in one or more of the following areas: Tort Law Contract Law Law of Trusts Land Law Intellectual Property Law Commercial Arbitration As an Associate Professor, you would be a key member of our
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underpinned by proactive engagement with critical inquiry into the processes of learning in higher education contexts which is evidence-driven in order to enhance student learning and the quality of assessments