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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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, emphasising our commitment to widening opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and
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, maintenance and monitoring (with the Co-DClinPsy Programme Directors) of teaching and learning strategies and academic standards for the DClinPsy. The post holder will also contribute directly to teaching and
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Health Monitoring (SHM), Structural Dynamics, Sensor Integration and Processing, Internet of Things (IoT), Machine Learning (ML), Predictive Maintenance This is a 30-month Knowledge Transfer Partnership
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assessments (EMA), and passively monitored behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning
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. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary assessments (EMA), and passively monitored
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Assistant or Research Associate levels, to contribute to cutting-edge research in machine learning for time series health and care data with opportunities for innovation, interdisciplinary collaboration, and
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service, prepare activity and associated areas for use, ensure that activity areas are safe and monitor the use of all sports and associated areas. The role holder may be asked by Operations Manager to
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The Role Join our growing team to help re-architect and re-implement the University’s research virtual machine (RVM) and high-throughput computing (HTC) platforms. Beyond provisioning and
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predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data