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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis
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of these crystals greatly affects the performance of the metal and hence the performance of components where metals are used - such as in aeroplanes, gas turbine engines, cars, etc. The manner in which such materials
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mechanisms behind heart defects and cardiomyopathies using cutting-edge technologies such as human induced-pluripotent stem cells (hiPSCs), CRISPR gene editing, 3D organoids, and engineered heart tissues. Our
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aims to obtain a comprehensive, integrated, multi-level understanding of mechanisms and features involved in the development and maintenance of eating disorders. This PhD scholarship is supported by
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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resources to avoid downtime, adjusting dynamically as traffic fluctuates. For researchers and students, this component focuses on developing ML models to predict resource needs, improving load distribution
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to new questions about work futures in the building/construction industry. Applications for both written thesis and thesis with a practice-based documentary filmmaking element are both welcome. Candidates
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, and neural regeneration. ARMI’s mission is to unravel the fundamental mechanisms of regeneration, enabling the development of innovative clinical therapies that can prevent, halt, and reverse damage
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solution eleXsys as a core element operating autonomous microgrids of the future, as well as providing integrated Volt/VAR management, allowing for full two-way energy flow in the entire microgrid network
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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Lipschitz Continuous Neural Networks to learn Lipschitz-bounded neural models