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21 Apr 2026 Job Information Organisation/Company Sorbonne Université Department faculté des sciences et ingénierie Research Field Engineering » Microengineering Engineering » Biomedical engineering
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intelligent, resilient, and autonomous aerial systems. We are currently seeking a highly motivated Research Engineer to lead the applied research and development of advanced control augmentation techniques
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, or mechanical engineering. We seek the follwing skills: • Languages: written and spoken English, scientific writing. Spoken French is a plus. • Robotics: kinematics, motion planning, motion control. • Control
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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Requirements: Possess PhD degree in electrical engineering or related fields Extensive experience in robotics and sensor fusion Experience in system integration and flight control Excellent communication and
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of Technology reporting to the Department Chair of Technologies. The Technical Training Specialist provides laboratory support and training for students in the Technologies Department. Job Duties Directly support
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 8 days ago
Field Engineering » Control engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 4 May 2026 - 23
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position in Electrical Engineering. The department houses ABET accredited programs in Computer Engineering and Electrical Engineering. Details of the programs can be found at https://www.stcloudstate.edu/ece
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industrial take-up. The Research Assistant will work in close collaboration with the Rolls‑Royce‑supported University Technology Centre (RR‑UTC) in Control, Monitoring and Systems Engineering at the School
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Foundation-model-guided world models and predictive control for autonomous remote handling in extreme environments The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project