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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade)
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collaboration with Rolls-Royce plc, this project will use a new Ni-based superalloy as the primary demonstrator system to create a new paradigm for accelerated materials discovery. The program is situated
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-assisted discovery and development of semiconductor materials and devices. This exciting new field will lead to new types of quantum computers, new lasers increasing the speed of the internet, electronics
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Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located along
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Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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characterisation and process simulation, through a well-designed research programme. These are sough-after skills in many high-value manufacturing sectors, notably aerospace and automotive, offering excellent career
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BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways?
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has on the space-time geometry. The aim of the project is to explore the backreaction of quantum fields on black hole space-times. First, the stress-energy tensor for a chosen quantum field is computed
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ACCE+ DLA Programme: Assessing the extent and drivers of illegal Selective Logging across Peru