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Field
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reaction optimisation. You will gain skills in synthetic co-ordination chemistry, advanced characterisation techniques, machine learning and operation of flow chemistry platforms. This project would be ideal
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. Strong communication skills and familiarity with machine learning, optimisation techniques, geospatial systems, and urban mobility modelling are desirable. This studentship is open to both Home (UK) and
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(for examples, see https://doi.org/10.1073/pnas.2006192117 ). You will use a variety of analytical methods including principal components analysis and machine-learning to model the covariation of the face, voice
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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Are you passionate about the future of artificial intelligence and its integration within the financial sector? Do you have a background or research interest in human-computer interaction, human
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environment-specific algorithms and machine learning approaches. At the end of the project a technology demonstrator will be built using UAV- and USV- mounted radar sensors, and it will be tested in real world
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this overall aim, the student will Employ computer programming methods to determine the occurrence of Alzheimer disease in obstructive sleep apnoea patients using previously collected clinical data and Perform
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the potential for autonomous operation, leveraging machine learning techniques for real-time decision-making and adaptability to unforeseen challenges in space. Applicants should have, or expect to achieve
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that are not seen in any other material. This project combines cutting-edge sampling techniques with machine-learned potentials for accurate phase predictions, offering considerable opportunity for method