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delivery, enhance user experience, and drive continuous improvement. You'll be part of the DDaT senior leadership team, supporting everything from student learning to cutting-edge research. Key
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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, and quantum machine learning for NISQ architecture(s). This post is advertised as full-time. We are open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of
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texts. By using a mixed method approach, we propose to make the erased texts readable again, and then edit, translate and study them. Combining multispectral image capture and analysis with machine
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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the ability to deal with varied tasks, juggle priorities and deliver to tight timescales. Responsibilities will cover a number of key administration activities including handling car parking queries, booking
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the FGGA. Together with the researchers at FGGA, experts from central research support services (University Library, Vienna University Computer Center, Research Services and Career Development), as
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texts. By using a mixed method approach, we propose to make the erased texts readable again, and then edit, translate and study them. Combining multispectral image capture and analysis with machine
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considering teaching and learning within a dynamic team. Responsibilities for the post will include leading modules and teaching on our new BSc Dietetics course. We expect and encourage all staff to participate
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research