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) Competitive salary and research environment Based at KAUST with interdisciplinary collaboration Qualifications PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering
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IMAGE section, which conducts research in machine learning, computer vision, and simulation. The section is part of the Department of Computer Science, Faculty of SCIENCE, University of Copenhagen. The
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we looking for? We are looking for highly motivated candidates with a PhD or equivalent research experience in computer science, machine learning, scientific computing, physics, applied mathematics
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interface of basic science, clinical research, and therapeutic development, while preparing them for future leadership roles. As part of this program, IOB offers fully funded PhD and MD–PhD positions
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enthusiastic individuals who are eager to expand their scientific expertise while contributing to meaningful discoveries in vision science. What You’ll Bring Required Qualifications PhD or MD/PhD in
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UC Berkeley, Bakar Institute of Digital Materials for the Planet | Berkeley, California | United States | about 6 hours ago
sciences, or materials science with a strong vision for integrating AI/machine learning into discovery workflows. Share this job Facebook Twitter LinkedIn Apply on website (This will open in a new window
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looking for candidates who have completed their PhD within the fields of Computer Science, Computer Engineering, Robotics, Applied Mathematics, or related areas. Applicants should have strong technical
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be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong
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vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 22 hours ago
, healthy, balanced and fulfilled life at KAUST. Qualifications We welcome candidates with a PhD in Computer Science with a strong background in the theory and practice of one or more of following research