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discipline. Experience with deep learning framework PyTorch or similar. Strong background in machine learning, image or signal processing. Knowledge of SotA models for multi-modality and scene understanding
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, interpretable machine learning, trustworthy and responsible AI, and the integration of NLP and XAI methods into complex systems and decision-support platforms. The successful candidate is expected to develop
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geotechnical and construction). Detailed Position Information The Department of Civil, Construction and Environmental Engineering (CCEE: https://cce.eng.ua.edu/ ) and the Lee J. Styslinger Jr. College
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Serving Institution, Suffolk enrolls thousands of students in English Language Learning courses, and also serves more service veterans and military-connected students than any other college in the SUNY
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). Experience applying statistics and Machine/Deep Learning to real-world data. Experience working with manufacturing process data, robotics systems and/or metrology data (sensor data, quality data, measurement
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artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
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York University Tandon School of Engineering The Department of Computer Science and Engineering at NYU Tandon School of Engineering is seeking to hire a Part Time Scholar to work with Professor Justin
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Responsibilities: The successful candidate will be expected to teach undergraduate and graduate courses at all levels of the computer engineering curriculum, develop new courses that align with their area of
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departments: Architecture Communication Design Computer Engineering Technology Computer Systems Technology Construction Management / Civil Engineering Technology Electrical and Telecommunications Engineering
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Learning - Administration Location Truro, Nova Scotia, Canada Job Summary & Key Responsibilities This course covers the theory and applications of digital electronics technology and the control of digital