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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through
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-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a knee joint analysis pipeline capable of driving surgical innovation beyond 2030. The work program
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a lead in advising and delivering on space planning initiatives and project development across our student’s teaching and learning spaces and in places of work for our staff. Undertaking spot space
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Education Services for a directorate-wide role that supports the design, planning and evaluation of impact across a range of strategically aligned teaching and learning activities and projects. Working under
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, machine learning, blockchain and cloud computing are reshaping professional practice in both accountancy and finance. In line with our commitment to preparing graduates for the future world of work
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Microsoft Software (e.g. Word, PowerPoint), a virtual learning environment (e.g. Moodle, Blackboard) and video conferencing software – we use Microsoft Teams. You must be fluent in English, both written and
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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to adapt to meet the experimental demands of dynamic research environment by quickly learning new skills as required whilst maintaining a high level of attention to detail. Experience of creating