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The effects of micro-machining operations on structural integrity of biomaterials used in dental applications School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us About King’s Digital Our mission is to provide transformative, high-quality digital education, so students can learn, wherever they are. We
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning
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Learning and Teaching Administrator ( Job Number: 26000318) Social Sciences Faculty Office Grade 4: - £24,843 - £26,093 per annum Open-Ended/Permanent - Full Time Contracted Hours per Week: 35
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, test and measurement methodologies for electronic modules, system engineering, data pre-processing and database indexing/analytics for dashboarding/visualisation, embedding machine learning algorithms
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provides our students with an inspiring learning experience and enables us to produce world-leading research within and across Departments, Research Centres and Institutes. The diverse nature
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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity cover for the current post holder. With
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Contract Type: Fixed term until 30/11/2026 The Library, Information & Digital Services Department is looking to recruit a highly motivated and dedicated Learning Technologist to provide maternity
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careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper