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signal processing or machine learning technologies will be considered, as well as specific technical challenges. For example, projects in this theme will consider aspects related to: wide area motion
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University, University of Edinburgh and Leonardo. We are pleased to invite applications for a PhD studentship to work as part of a leading team of experts. This studentship will be supported by an enhanced
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) the Computation challenge: To create new signal processing & machine learning methodologies that enable intelligent, digital & connected sensor products while mitigating the data deluge from the multiple sensors
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the Advanced Care Research Centre (ACRC) at The University of Edinburgh and be at the forefront of innovative solutions for promoting healthy ageing and future care for people in later life. You will
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PhD Studentship: Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes
. The application of Machine Learning (ML) to estimate the properties of polymer membranes for gas separation, including solubility, diffusivity, and permeability is gaining traction. However, significant untapped
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leading applied Research & Development at Abertay University and film, television and animation production in Edinburgh with University of Edinburgh's world leading expertise in machine learning and
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significant games cluster with world leading applied Research & Development at Abertay University and film, television and animation production in Edinburgh with University of Edinburgh's world leading
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Physics was top in the UK for world-leading research outputs. Our joint submission to Engineering with the University of Edinburgh was ranked 1st in Scotland and 3rd in the UK for quality and breadth