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Field
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Automated Verification theme in the Department of Computer Science and a research group with responsibility for carrying out research on the robustness (continuity) of equivalences in probabilistic systems
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Stefan Kiefer. The post holder will be a member of a project team of Automated Verification theme in the Department of Computer Science and a research group with responsibility for carrying out research
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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) IGDI Lab (IGDI-Lab) seeks a candidate to fill one
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an extensive array of resources: UAVs for communication protocol, edge computing and control algorithm development; THz transceivers for high-frequency communication channel measurement and sensing; Real-Time
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based in the School of Engineering. You will work under the guidance of Tousif Rahman and Prof. Rishad Shafik. For informal queries please contact Dr. Tousif Rahman at: tousif.rahman@newcastle.ac.uk
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Technologies Programme and is a five-year project with £22.4 million total funding for a consortium of 17 institutions and over 50 research groups. The task of the theory group led by Prof Kyriienko
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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to treatment, population health monitoring, workforce development and leadership, policy, and advocacy. Background The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated