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of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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Engineering. Qualified candidates must have a PhD in Electrical Engineering, Computer Engineering, or a closely related field, and a strong commitment to undergraduate and graduate education. All areas in
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and research project management. 15%: Data Collection and Distribution Utilize basic computer skills to log data, conduct routine computer analysis of research data, and contribute to scholarly
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-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language
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available on their websites. COEIT offers graduate programs in Chemical and Biochemical Engineering, Computer Engineering, Computer Science, Electrical Engineering, Environmental Engineering, Human-Centered
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
the Inria-AIO team (https://team.inria.fr/aio/ ) and will receive their PhD from Sorbonne University. The Inria-Paris center is located at the heart of Paris, in the 13th arrondissement. Some details of
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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more than 12 months in the 3 years immediately before the recruitment date at the same appointing organization. Skills and personal qualities The candidate must hold a master degree in computer and data
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through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly. NED merges data from published literature and from catalogs, with