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-instrument interfacing and developing software for data acquisition and instrument control. Behavioural competencies Research - Communication (Level 2) Research - Creative thinking (Level 2) Research
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enhanced Raman spectroscopies platform to reveal hidden processes such as interfacial charge transfer, redox switching, doping and dedoping, morphology dynamics, and local electric field effects. You’ll
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, National University of Singapore (NUS). The research of the group is highly interdisciplinary and involves electrostatics, interfacial charge separation, dynamics, and soft functional matter (e.g
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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innovation, and helping Canadian businesses develop leading-edge technologies for civilian and military use. With expertise across fields such as transportation, quantum science, medical countermeasures and
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boundaries. Job requirements You hold an MSc degree in Electrical Engineering, Wireless Communications, Computer Engineering, Aerospace Engineering, Applied Physics, Physics, or a closely related discipline
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of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
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lab teaching and assessment, further building the skills developed within your PhD research programme. The position is grade 6 with a current salary of £31,236 and includes payment of home PhD tuition
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” Project Scope and Research Questions This doctoral project will explore the relationships between military conflict and slavery in the context of the Seven Years’ War (1756-1763), often characterised as the