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to the development of state-of-the-art AI approaches applied to land surface monitoring, particularly using satellite observations. These approaches may include machine learning and deep learning methods
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http://www.syracuse.edu. About the Syracuse area: Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area
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of engineering and computer sciences. There will be weekly, monthly, semesterly, and annual responsibilities to ensure the proper functioning of teaching spaces within the college across multiple buildings
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over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
and features for the pre-symptomatic detection of changes in the physiological status of plants, developing, training, validating, and comparing predictive machine learning and deep learning models
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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-FNR PEARL Research Grant in the area of Information Systems Engineering, and, depending on interest, in fields, such as Generative AI & Machine Learning, Data Privacy, Cyber Security, Digital Identities
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supervision PGT teaching (either as part of a team or as an individual) A core expectation of the post-holder will be to provide engaging and high-recruiting teaching on modern military and/or diplomatic
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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Steinhardt School of Culture, Education, and Human Development invites applications for a continuing contract (non-tenure track) Clinical Assistant Professor in Teaching and Learning with a specialization in