13 processor "https:" "https:" "https:" "University of St" positions at Cranfield University
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and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-advanced-fluid-system-s… Requirements Research FieldEngineering
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of applications. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-highspeed-propulsion-ae
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: 8 March 2026 Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-membrane-science-and-te… Requirements Research FieldChemistryEducation LevelPhD or equivalent Additional
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industrial partners, such as WAAM3D (https://waam3d.com/ ) and members of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following
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academic and industrial. Please check the hub website for further details: https://www.liverpool.ac.uk/energy-transfer-skills-training-hub
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research community at WAMC, fostering collaboration and innovation. Additionally, there will be opportunities to work with WAMC’s industrial partners, such as WAAM3D (https://waam3d.com/ ) and members
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complete and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/intranet/wd_portal.show_job?p_web_site_id=4009&p_w… Requirements Research FieldOtherEducation
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closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https
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soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-environmental-sensors-6… Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap