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Applied Sciences has a vacancy for PhD Research Fellow in Semi-Autonomous Teleoperated Robots The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed energy deposition technology and
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 29 days ago
seconds in vivo, including acquisition, processing, and diagnostics. The post-doctoral fellow will work in close collaboration with an embedded systems engineer developing the software and electronics
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Posting Details Position Information Posting Number SRGV8560 Working Title POSTDOCTORAL FELLOW Number of Vacancies 1 Location McAllen, Texas Department School of Medicine / MDOISU Cancer Research
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a
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metallic components (ferrous and non ferrous). Job Requirements: PhD (or Engineer with minimum 2 years of experience) in materials/mechanical engineering, in the field of solid state material recycling
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papers Contributing to quarterly and annual report writing and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research
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We aim to appoint a highly motivated postdoctoral research fellow in (Quantum Sensing, Navigation, Positioning and Timing for Autonomous Vehicles) to primarily contribute to our research in the UK