25 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at The University of Southampton in United Kingdom
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Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in
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responsibilities with other team members. The post will be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk ). Ranked in the top 1% of universities globally and among the UK's top
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. There are opportunities to teach on courses run at the University and with partner charities and organisations, as well as be involved in audit and service development within USAIS. You will also have a key role in the
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specification, as well as an indication of the reasons for your interest in this opportunity. Completed applications should be uploaded at https://plusportal.perrettlaver.com/VacancyDetail/f489f8ce-0fd8-33e1-0ca9
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learning and research. We are nationally recognised for our commitment to equality, and for embedding inclusive practices across the institution. We are proud to be an Athena Swan silver award holder
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. Working as part of SoC labs (https://soclabs.org/), you will design, develop and deliver workshops, lectures and online learning content in areas including digital electronic design, system‑on‑chip (SoC
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the project forward and translate our research into tangible innovations for the UK’s growing photonics sector, building upon our recent work published in Nature (https://www.nature.com/articles/s41586-025
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education taking place in the Faculty of Medicine can be found on the Faculty of Medicine website at https://www.southampton.ac.uk/about/faculties-schools-departments/faculty-of-medicine This teaching fellow
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed
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the Digital Services application support team who are responsible for the digital services that underpin the work of NIHRCC and also offer support to the School. Further information can be found at: https