579 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Sheffield
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link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your
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-standard queries. Essential Application/interview Good understanding of computer operating systems (Windows and Mac OS) and desktop software (MS Office, web browsers) and an interest in learning new
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to develop cutting-edge imaging and analytical tools to answer fundamental biological questions about how tissues and tumours respond to mechanical stresses. Lab website: https://www.helenmatthewslab.org
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hydro-climatic conditions govern vegetation behaviour, and how vegetation impairs the functioning of drainage and water-management assets. Using advanced geospatial modelling, machine learning and digital
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International Public and Political Communication programmes in particular, and other material as appropriate for our wider journalism teaching portfolio. This will include identifying learning objectives
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to the Faculty, University and Sheffield Teaching Hospital's policies and procedures. Ensure all work is embedded in the University's Strategic Plan. (http://www.sheffield.ac.uk/ourplan/) . Act in accordance with
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experience Essential Application/interview Further Information Grade 6 Salary £32,080 - £36,636 per annum Work arrangement Full-time Line manager Tom Chadwick Direct reports None Our website https
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs
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Overview You will be part of a team that delivers a high quality, inclusive and accessible learning experience for all students. You will support students, actively seeking out and responding
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http