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Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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Machine Learning techniques to this data to extract the essential information contained within these trajectories. This will be achieved through the following steps: Develop tools to efficiently generate a
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Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural
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) to work on cutting-edge language assessment projects and help strengthen the British Council's position in the field. The role holder will apply AI and machine learning expertise to develop and support
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for the power plant. We have an opening for a candidate with an interest in the application of machine learning to particle physics simulation and proven skills in software development. The student would
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and research activities. You could be making parts for a student racing car one day or working with researchers to build an artificial knee the next. The role requires the use of conventional machine
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machine learning methods with the goal of enhancing the effectiveness of our LifeMap technology, with the aims to develop VR-induced stress tests, potentially offering clearer data and benefiting patients
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Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives, design, materials
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will be driven by next generation machine learning algorithms, which will use knowledge from prior experimental campaigns to increase library synthesis success rates and accelerate the development and
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering