18 phd-in-power-electronics uni jobs at King Abdullah University of Science and Technology
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your
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The Statistics (STAT) program in the Computer, Electrical, and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah University of Science and Technology
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We solicit applications for multiple positions(PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab
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positions (PhD, MS, MS–PhD, Agronomist, Field Engineer, Field Technician, and Postdoctoral Scholar) in Professor Himanshu Mishra’s research Group (Interfacial Lab) in King Abdullah University of Science and
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The Field Engineer will support the development and deployment of a laser-based system. This role requires hands-on prototyping, electronics development, and software integration for real-time
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with experience in areas such as flexible and large area electronics, neuromorphics, energy harvesting and sensors/detectors. We invite applications from dynamic individuals with demonstrated expertise
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monitoring & control of all the facility automation systems such as: Building Automation System (BAS), Lighting Control System (LiCS) and Power Monitoring System (PMS). This responsibility includes and
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well as financial planning for new capital equipment and major maintenance. Ability to read electronic/wiring schematics and diagrams needed to maintain sophisticated facility operation. Concise verbal and written
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post-doc (micro-biology) and 5 PhD students at various stages of their projects. The area is part of the Red Sea Global Giga Project which aims to build a world class sustainable tourist development