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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence
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and experienced AI technical leader responsible for driving the technical strategy, design, and implementation of Artificial Intelligence and Machine Learning (AI/ML) solutions across the university
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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu
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Adjunct Faculty positions are temporary, part-time positions hired each semester on an as-needed basis. The adjunct faculty member will be responsible for creating a learning environment that
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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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relevant industry experience, demonstrating scientific independence, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine
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in a diverse classroom Duties: • Teach undergraduate and graduate courses in software engineering, software design and architecture, and related areas of computer engineering and computer
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Summary Assist with online classrooms at graduate and/or undergraduate levels in the Instructional Design & Technology program and/or the Management & Technology major. May participate in
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of: • machine learning • cybersecurity • distributed systems • privacy-enhancing technologies The research will be carried out within the (team name) at LS2N, focusing on trustworthy AI and cybersecurity