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current accreditations and commitment to Equality, Diversity and Inclusion here , including our commitment to the Armed Forces Covenant . Further information Please contact Dr Mark Wood, m.e.wood
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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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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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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execution while also developing a long-term forecasting model using machine learning algorithms (prior experience with Machine Learning model implementation would be advantageous here). You will also have the
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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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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higher education for our students to gain valuable practice learning experience onsite, to support local and regional NHS partners, and provide a data-rich research environment for our students, staff and
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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
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devices, the research will integrate established classical protection schemes with data-driven methods, including artificial intelligence and machine learning. The proposed protection strategies