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on LLM agent safety and secure authentication. The role involves developing runtime monitoring and behavioural evaluation techniques for LLM agents, and investigating secure and usable authentication
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excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and
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to work on a 5-year UKRI Medical Research Council funded project to define the mechanism of vasculogenic mimicry in RMS, identify therapies that modulate VM and understand their mechanisms and Develop VM
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on: • Developing approaches to fuse survey data with passively collected data (e.g., smart card data). • Design survey instrument and collect data. • Validate new approaches using open-source datasets
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We are inviting applications for Research Fellow to join our dynamic and interdisciplinary team focused on developing a passive microfluidic plasma separator device. The successful candidate will
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in collaboration with Ionic Technologies. The project will develop innovative, hydrogen fluoride-free routes for converting recycled rare earth oxide feedstocks into rare earth fluorides
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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. The successful candidate will primarily lead computational and bioinformatics studies within the lab and will have opportunities to develop new analytical approaches, publish high-impact research, collaborate with
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processing and neural circuit mechanisms. Job Responsibilities Conduct research on mechanosensory and somatosensory circuits and sensory coding. Develop and apply behavioural assays, calcium imaging and
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. The Risk and Infrastructure Systems Lab, led by Asst. Prof. Alex Sixie Cao, develops quantitative methods for understanding and managing the reliability, robustness, and safety of structures and