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funded PhD position on Uncertainty Quantification and Technology Qualification for Advanced Wind Turbine Components. This position is part of the MET2ADAPT Doctoral Network (Meta-Materials and Meta
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Ordnance Survey to start in October 2026. Artificial Intelligence (AI) is transforming workplace processes, raising critical questions about how humans and AI collaborate. This PhD project explores
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for the position of scientific and research staff. The applicant will have already gained experience in research in the area of materials and mechanical engineering. Specifically, we are looking for an expert in
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19 Dec 2025 Job Information Organisation/Company FH Münster Research Field Engineering » Mechanical engineering Engineering » Electrical engineering Researcher Profile Leading Researcher (R4
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: 281522555 Postdoctoral Research Associate D-25-MAE-00004 | Research | Mechanical and Aerospace Engineering The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the
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obtained through studies in engineering cybernetics, robotics, control engineering, automation, electrical engineering, marine engineering, mechanical engineering, applied mathematics, or similar engineering
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collaboration and the wider astrodynamics and radio-science communities. Job requirements A Master’s degree (or equivalent) in Aerospace Engineering, Mechanical Engineering, Physics, Astronomy or similar. Strong
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projects. Job Requirements: PhD degree from a reputable university in chemical engineering, environmental engineering, mechanical engineering, or a related field. Excellent journal paper publication record
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/ proteomic approach. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References www.sheffield.ac.uk/photosynthesis View DetailsEmail EnquiryApply
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guidelines ). Only complete applications received within the response period via the link below will be considered. Where to apply Website https://www.academictransfer.com/en/jobs/357878/phd-position-in