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to an evaluation of how user-friendly and acceptable an AI-powered dashboard is among registered nurses (RNs) caring for patients having colorectal surgery. This is a six-month multisite study funded by the AI
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civil society. Upholding best practice in research conduct, ethics, and data management. Person Specification You will hold (or be very close to completing) a PhD in a relevant field such as sound studies
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electronic health records (EHRs) from multiple UK hospital centres using advanced data analytics including machine learning, deep learning, and statistical techniques—with a particular emphasis on deep
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of the Faculty of Computer Science of the University of Vienna. This group is distinguished by excellent research in Visualization and Data Science, as well as applied research in Human-Computer Interaction and
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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. This is a unique opportunity to work at the forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in
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you send enquiries by email. Please send your name along with a brief description of the problem you’re experiencing to e.recruitment@durham.ac.uk Alternatively, you may call 0191 334 6801 from the UK
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subject. A PhD (or be close to submission) in a topic relevant to heritage and green corridors. Experience Experience in conducting high quality academic research. Demonstrable ability to write material
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ambitions We are seeking a candidate with: Educational background PhD in Architecture, Landscape Architecture, Computational Design, Computer Science, Urbanism, or a closely related field. Specialization in