12 evolution "https:" "https:" "https:" "https:" "https:" "https:" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
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of computer science and digital identity technologies. Funded by Innovate UK through a Knowledge Transfer Partnership (KTP), the Fellow will lead the development of an end-to-end AET testing framework, encompassing
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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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, photophysical characterisation and/or cell biology will be seen very favourably, however the project has a large training budget to support the development of the appointee. Our group is committed to fostering a
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(electrolyser), with University of Southampton working on the development of a Hall thruster operating on oxygen. Specifically the Research Fellow position will involve the design, manufacture and testing of a
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seen very favourably, however the project has a large training budget to support the development of the appointee. Our group is committed to fostering a supportive and collaborative environment, and as a
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mechanics including turbulent boundary layers, flow control, atmospheric flows, and diagnostics development. You will join a large and friendly aerodynamics group (http://www.southampton.ac.uk/engineering
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at leading conferences, contributing to the visibility and impact of your field. Additionally, you will engage in continuous professional development to enhance your expertise and skills. Your role will also
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Scheme (USS). We also support early career researchers in line with the Concordat to Support the Career Development of Researchers. Enquiries For informal inquiries please contact Dr. Duo Chan (Duo.Chan
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(EORTC) Quality of Life Group (QLG), (https://qol.eortc.org/ ), the largest research organisation of its kind whose mission is to improve HRQoL of people with cancer through dedicated research and the
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are seeking to recruit a Senior Research Fellow to work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected