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Field
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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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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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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
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24 Dec 2025 Job Information Organisation/Company The Belgian Nuclear Research Centre Department SCK CEN Academy for Nuclear Science and Technology Research Field Engineering » Mechanical engineering
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7 Jan 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Mechanical Systems Engineering Research Field Chemistry » Other Engineering » Electrical engineering
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. 3 - Profile What do we expect from you? We are looking for a highly motivated PhD candidate with: a Master’s degree in Computer Science, AI, Data Science, Engineering, Biomedical Engineering, or a
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» Mechanical engineering Engineering » Other Physics » Electromagnetism Researcher Profile First Stage Researcher (R1) Application Deadline 16 Feb 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary
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» Earth science Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 31 Jan 2026 - 23:59 (Europe/Tallinn) Type of Contract Temporary Job