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Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
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Automatic Object and Behaviour Recognition in Video/ Image Sequences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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, video and analytics. Essential Application/Interview Experience of working effectively as a member of a team as well as your working on your own initiative. Essential Application/Interview Ability
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specialized quantum error correction codes that maximise the quantum advantage attainable in the quantum estimation of classical fields, while also considering reasonable physical constraints that are imposed
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healthcare. You should also have experience with large scale scientific computing, working with sensitive patient data, in development and management of research code, and with cardiac and cardiovascular
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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, allowing users to stream 8K videos, play immersive online games, and access large files instantly. 2. Reliability: The ML-enabled Physical Layer will be highly reliable across diverse operating requirements
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instructions for maintenance works to be carried out in a timely, cost efficient manner by either University staff or external contractors, ensuring works comply with current legislation, Health & Safety codes
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regulatory requirements. Support the study team with the use of creative media (videos, podcasts, newsletters, posters) and the creation of Google sites. Produce purchase requisitions on the University SAP
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colleagues. Communicate and report regularly in a professional manner to colleagues Participate in regular meetings and video conferences and travel to project partners where appropriate Carry out other duties