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) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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of Computer Science is one of the UK's leading Computer Science departments, with an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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implementing AI algorithms to deliver safer and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities
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interdisciplinary research and teaching at the intersection of the humanities and computational methods. The successful candidate will join the Computational Humanities research group, a vibrant and collaborative
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, Elixir and Python. The Senior Research Associate role is expected to lead the investigation of the algorithmic aspects of these systems and the design and implementation of prototype tools for Erlang
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postgraduate degree. For more information on English language requirements, please visit this page . Further details The School of Computing at the University of Kent and Huawei invites applications for 2 fully
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics