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responsibilities include: Implement, adapt and refine an existing DRW detection algorithm for use with climate model outputs and apply it to the new CANARI Large Ensemble dataset. Assess the representation of DRWs
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including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High level of both spoken and written English (official certificate not required) High interest
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courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer interaction, as well as participate in the full range
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. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
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an outstanding reputation in research, teaching, and student employability. Our internationally recognised research covers Algorithms and Complexity, Artificial Intelligence and Human Systems, Networks, Scientific
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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like you? Then join our accomplished team! Your personal sphere of influence: The research group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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mechanics, or coupled aero-thermo-mechanical systems; c) development of advanced algorithms, numerical schemes, and high-performance software for simulation of complex physical systems, including fluid
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-to-failure dataset is then fed into powerful Artificial Intelligence algorithms, particularly time-series Neural Networks. These models learn the complex sequence of events that reliably precedes performance