21 postdoctoral-biomedical-signal-processing Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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signal simulation frameworks for BSL gestures. Process skeletal motion data to drive simulation pipelines. Conduct radar experiments to calibrate and benchmark simulation outputs. Write academic papers
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ion beam nanofabrication processes for advanced photonic materials and devices, so as to enhance their functionality, optical performance and energy efficiency. To be successful in this role, you will
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We are seeking motivated postdoctoral scholars with a passion for flexible bioelectronics and medical robotics to join our dynamic research team. This project focuses on developing a smart
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(e.g., shopping malls). Located at the intersection of machine learning, robotics, and acoustic signal processing, the project will bring together a highly interdisciplinary team of researchers, industry
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the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You
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trust-inducing, than online meetings? What biological signals and qualities in human co-presence interaction might we synthesise to create better quality of interaction when remote? Non-visual Augmented
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data