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with quantum computing. The project combines evolutionary algorithms (EAs) with quantum computing, focusing on its application in complex multi-objective optimization problems. The PhD candidate will be
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, machine learning algorithms, and/or multi-objective co-evolutionary optimisation methods to address some of the major challenges associated with a range of manufacturing challenges. The post-holder will
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industry partners. Design, implement, and validate advanced reinforcement learning models. Utilize reinforcement learning and evolutionary algorithms to discover new chemical materials. Publish and present
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image motion algorithms for a visual prosthetic. She received her doctorate in electrical engineering from Stanford University focusing on neural prosthetics and the brain control of healthy, naturalistic
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response. Working with an interdisciplinary team of microbiologists, epidemiologists, molecular biologists, bioinformaticians, evolutionary biologists and software engineers, we are creating an integrated