128 computer-programmer-"FEMTO-ST"-"FEMTO-ST" positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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of composite materials and structures. The research will be conducted within the Computational Engineering & Design Group of the Department, on a fixed term - full time contract for a duration of 20 months
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Are you passionate about cutting-edge acoustics research and sustainability? Do you want to help shape the future of noise control in energy infrastructure? Join us at the University of Southampton as a Research Fellow in the exciting interdisciplinary project “Tone Down: Objective and...
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qualifications and experience in Computer Science, Financial Technology, Data Science, Artificial Intelligence, or a similar field. Experience with AI model development and deployment using Python and other
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journals. You will have a clear vision for innovative future research programmes, the drive to secure external funding to build a research team in your area, and the ambition to establish yourself as an
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vital role in enabling this — supporting everything from hybrid teaching to specialist computing environments. You’ll be joining a friendly, supportive team that’s passionate about delivering excellent
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networks and working collaboratively to lead and drive change within projects, programmes or across the university to deliver long-term, strategically aligned outcomes. Ability to think from a user’s
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doctoral research and training partnerships. As a Communications and Marketing Manager, you’ll be working on a range of initiatives to recruit students to Postgraduate Research (PGR) programmes and promote
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of Southampton is hosting and other similar events. You will also engage with staff at the School of Electronics and Computer Science (ECS) from a range of ECS groups and ECS centres, who themselves have exciting
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discipline, as well as experience of working in a cleanroom environment. Be an effective team member who communicates effectively with others, including stakeholders external to the School of Engineering. Plan
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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