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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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Deadline: 31 March 2024 (or until position is filled) One fully funded PhD position to work with Dr Adriana Sejfia in the School of Informatics at the University of Edinburgh, on a project titled
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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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' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a
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(https://coopai.kcl.ac.uk/ ) headed by Dr. Yali Du in the Department of Informatics, King’s College London, United Kingdom. The researcher will be supervised jointly by Dr. Yali Du (University of Edinburgh
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required to induce unstable growth, the natural frequency and oscillation dynamics under ultrasonic irradiation, and their jetting collapse dynamics. You will learn how to set up, run, and post-process large
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About Napier Edinburgh Napier University is a leading, modern university based in an iconic, prosperous city and a stunning, ambitious and forward-thinking country. The #1 modern university in
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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
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Summary: This research proposal addresses challenges in the UK's construction industry, focusing on sustainability & safety. It aims to develop machine learning models that combine data from similar