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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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“participation”, and will consider candidates with a PhD in a variety of fields, including experimental and quantitative social sciences, human-computer interaction (HCI), design research, experimental psychology
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Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on cybersecurity that leads
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relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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for full Stokes vector detection. The candidate will focus on optical simulation, cleanroom nanofabrication, device integration, optoelectronic testing, and machine learning-driven signal reconstruction
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modern, purpose-built facility in Hinesville serving local and military-affiliated students; and the East Georgia Campus in Swainsboro, an outdoor oasis nestled on a 385-acre pine forest, offering expanded
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research in formal verification, machine learning and artificial intelligence system assurance. The successful candidate will develop new techniques and tools for analysing, verifying and improving
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multimedia-rich platforms), and usable tools/software to identify key actors and key groups responsible for coordinating cyber campaigns and disseminating propaganda. This is an on-campus position
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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties