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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 13 hours ago
, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and other
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, plan and implement a 3D camera system for acquiring plant seedlings in the visible spectrum Design and programming of computer vision software to extract plant phenotypic data Catalyze the development of
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technologies. CENTER VISION Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC), autonomous
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Geospatial Artificial Intelligence (GeoAI) under the supervision of Dr. Wenwen Li. The successful candidates will work at the intersection of cutting-edge AI (e.g., computer vision, generative AI, large
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research expenditures exceeded $16 million. The Department is home to the Microwave Remote Sensing Laboratory ( https://www.umass.edu/microwave-remote-sensing ) and the Paros Center for Atmospheric Research
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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areas: Mobile App Development Computer Systems Cloud Computing ( specifically with knowledge of AWS ) Salary is competitive and additional teaching opportunities are available. For more
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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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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, computer vision, signal processing, or condition monitoring Strong programming skills in Python and experience working with experimental data Strong interest in combining mechanical modelling