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, energy-efficient machine learning for small and low-power devices. The Network supports collaboration, training, events and real-world impact across health, sustainability and security, while contributing
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network funded by UKRI through EPSRC. It connects researchers, industry, engineers, AI specialists and government organisations working on decentralised, energy-efficient machine learning for small and low
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Dr Ekin Can Erkus and Professor Rishad Shafik within the School of Engineering. The role is part of the wider SONNETS network, which brings together Newcastle University, the University of Southampton
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11 Aug 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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the University of Southampton. The project aims to develop innovative computational approaches to predict which vertebrate species are most sensitive to endocrine-disrupting chemicals and to identify the molecular
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. Students may not have any prior AI qualifications or experience. Studying machine learning and statistical learning as well as AI’s social impact, this course will provide a comprehensive foundation to help
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the University of Southampton. We are looking for candidates with experience of supervising and marking in higher education at postgraduate level, with a completed PhD qualification in a relevant field. As the MA
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Erkus and Professor Rishad Shafik within the School of Engineering. The role is part of the wider SONNETS network, which brings together Newcastle University, the University of Southampton, and Imperial
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will be on the development of signal processing and machine learning algorithms and implementation of them in a USRP-based communication system. In particular, the Research Associate will be expected
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Research Associate in Signal Processing and Machine Learning for 6G Networks Specialist and Supporting Academic Research grade 6 from £35608 Wolfson School of Mechanical Electrical and Manufacturing