101 electronics "https:" "https:" "https:" "https:" "https:" "CNRS" Fellowship research jobs at Nanyang Technological University
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials characterization. We are looking for a Research Associate / Research Fellow to support micro device research...
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learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li ( https://yingzhenli.net ) and her
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CINTRA is a French-Singaporean joint research laboratory, a CNRS International Research Laboratory under the French Ministry of Higher Education and Research. It is a collaboration between the French
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the preparation and writing of research grant proposals. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
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, technical reports, specifications and presentations for internal reviews and external conferences or journals Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics
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, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project
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Requirements: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal
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research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Strong publication