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a recognized University. Major in power or data engineering will be advantageous. Minimum 1 year of relevant experience in the electrical engineering industry and preferably is familiar with
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; Neuroscience; Physics; Chemistry; Computer Science; Data Science; Mathematics; Earth Science; Astro sciences; and related disciplines Application deadline: September 18 (14:00 CEST) Salary: three-year fully
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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laboratory, please see: http://www.highvoltage.ecs.soton.ac.uk/ You should have a PhD related to Electrical Engineering or Materials Science, ideally with experiences in High Voltage Engineering, or equivalent
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AI technology for the robotic system. Perform testing and validate the performance of the developed gripper system. Job Requirements: PhD Degree in Mechanical Engineering, Electronic Information, Data
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engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized
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Department of Aeronautical and Aviation Engineering Postdoctoral Fellow (Ref. 250716004) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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, international and impact-oriented team. We have world-leading expertise in the philosophy, history and social studies of biology, biomedicine and environmental science; Open Science; data-intensive research; and
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing