56 distributed-algorithm-"Newcastle-University" Fellowship positions in United Kingdom
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success. The...
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Salary: £44,409.00 - £73,992.00 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
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Salary: £46,735.00 - £52,566.00 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through