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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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experience with maritime systems, radar/sensor fusion, or industry engagement is desirable. What we offer For information about our rewards and benefits please visit https://www.ucl.ac.uk/work-at-ucl/reward
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interaction and origins of mechanical failure under pressure. They should have expertise in microelectrode arrays and multilevel high-density routing for large-area sensor systems. Experience in multicomponent
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models with a practical experimental platform. FTE: 1 (35 hours/week) Term: Fixed (18 months) The Centre for Ultrasonic Engineering (CUE) group of the Institute for Sensors, Signals and Communications
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and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a relevant first (or postgraduate) degree in
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
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Human-AI interaction. Your network and team The Aalto Engineering Psychology Group concentrates on research in human-AI interaction . Currently, research activities focus on applying research methods from