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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:55 (Europe/Amsterdam) Country Netherlands Type of Contract Permanent Job Status Full-time Hours Per Week 40
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. This PhD project combines laser optics, precision metrology, electronics, and advanced data analysis in close collaboration with the University of Bonn and an international DFG-funded research unit
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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, representatives of the foundry, tooling, aerospace, medical and energy industries. Łukasiewicz Research Network - Krakow Institute of Technology announces a competition for a Scholarship grantee/Student/PhD student
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 30 Jul 2026 - 11:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job
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and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel
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-fabricated pavilion using a team of aerial robots. HARPA is looking for two motivated PhD candidates who closely collaborate to enable this vision: PhD #1: Multi-Agent Planning and Control for Cable-Suspended
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient