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will play a key role in the development and production of advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. You’ll be supporting
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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key role in developing and producing advanced optoelectronic devices for applications such as quantum technologies, integrated optical sensors, and laser optics. In this EPSRC-funded project, you will
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or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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quickly to work with new systems and integration requirements that come with cutting edge AI research such as machine learning, large language models, robotics and sensor systems. This enterprise-focussed
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-engineering, including control systems, soft sensors and actuators, robotics, tissue surrogates, foams, stretchable electronics or e-skins etc. The successful applicant will demonstrate: Clear plans to build
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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-engineering, including control systems, soft sensors and actuators, robotics, tissue surrogates, foams, stretchable electronics or e-skins etc. The successful applicant will demonstrate: Clear plans to build
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search