271 coding-"https:" "https:" "https:" "https:" "https:" "https:" "CFM Centro de Física de Materiales" Fellowship research jobs in United Kingdom
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(W.L.King@soton.ac.uk ). Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton. Where to apply Website https
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to the eRecruitment (Workday) system, each 5MB. Contact Information: More information can be found on our website at https://www.hiit.fi/hiit-postdoctoral-fellow-positions-in-computer-science . For questions regarding
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on the costs of delivery of safely managed urban sanitation services (https://cactuscosting.com/ ). We are looking for a Senior Research Fellow to join our team and lead the development of the next phase of
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more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with
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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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) Start date: Available immediately Contract: Fixed term for 3 years Location: Sutton Bonington Campus, University of Nottingham For more information about our research group, please visit: https
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for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ . Queen's University is committed
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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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to a flexible working approach. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407130/research-fellow-in-… Requirements Additional Information Work Location(s) Number
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2028 working 21 hours per week. We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk