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, assessment, and student support to enable effective learning Contribute to the development of programme modules that are accessible, inclusive and contribute to the University’s Teaching and Learning Strategy
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). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical
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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View
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Overview Data Connect is a service within the Research and Innovation IT team in the University’s IT Department. It is focused on supporting researchers to get access to health and social care data for research projects. It is a strategically important service in the University that enables...
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High-speed astrophysics with ULTRACAM and HiPERCAM
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to bacterial infection using qPCR, and potentially also RNAseq and computational bioinformatics. You will be integrated within a broader network of dynamic, enthusiastic researchers using zebrafish infection
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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Overview IT Services at the University of Sheffield provide a full range of complex IT and technology-enabled services that support education, research, workplace, corporate services and infrastructure enablers to all our staff and students.This highly innovative department is a key enterprise...
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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential Criteria A PhD (or equivalent) in Information Science or a