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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
and fluid properties in the subsurface formations. Therefore, the objectives of this research project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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. Contribute to a supportive, inclusive, and collaborative team culture. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position
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clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on improving patient care and the lives of Arkansans. UAMS offers
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projects with a focus on the development and application of computer vision technologies. Be part of change Conduct research and development in the fields of Artificial Intelligence (AI) and Machine
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application! The Division of Automatic Control is now seeking a PhD student to work in the new national Center for Heterogeneous Adaptive Swarm Systems (CHASS) funded by the Swedish Foundation for
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university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array of undergraduate
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) has a unique combination of education, research, and clinical programs that encourages and supports teamwork and diversity. We champion being a collaborative health care organization, focused on
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(but not limited to) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social