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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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machining, welding and cladding and non-destructive testing. As a Project Manager, you will be working within groups in the AMRC or across multiple groups. In this exciting opportunity this role will be based
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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extraction, as well as the model feature and machine learning based TCM into the framework of digital twins. This allows building up and updating a digital twin of machine tool dynamics via a completely data
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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science, digital modelling, and industrial innovation, this project will put you at the forefront of machining research. Benefits Earn While You Learn: Get a fully funded four-year postgraduate research
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greener transportation and energy. Building on recent advances, the successful candidate will use a powerful combination of dynamical systems theory, optimisation, DNS and machine learning to model and
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from level 3 through to level 7. In this role, you will be required to develop teaching resources using a variety of active learning strategies, to ensure the apprentices have a high-quality learning
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experience of treatment. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies
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), radiological and clinical images. The aim of this project is to investigate the use of artificial intelligence and machine learning in automated detection and segmentation of cancer and its microenvironment