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behavior and resource utilization (power and energy). Required Qualifications Current undergraduate student in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Basic
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of "America's Best-In-State Employers" for 2025. Location Statesboro Campus - Statesboro, GA Department Information Electrical & Computer Engineering Job Summary The Student Assistant will support the Department
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infrastructures, with a focus on light electric vehicles, machine learning and artificial intelligence, SCADA data analysis, diagnostics and monitoring of renewable energy systems, electrical measurements, and
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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18 Sep 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Electrical engineering Engineering » Mechanical engineering Engineering » Other Technology
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, such as gas, water, and electrical grids. This specifically concerns Cyber-Physical Systems and the complex integration of IT-OT environments, supporting CyberUnite’s mission to develop resilient and
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(particularly computer vision), (2) machine learning for data analysis, (3) sensor technologies (e.g., electromagnetic sensors), (4) design and integration of mechanical/electrical devices; and an interest in
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computer science or electrical engineering from a reputable university On top of systems and/or hardware security, we also consider applicants who have instead worked on computer systems or hardware design topics
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opportunity The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge
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Department's Website: EECS Department Website: https://engineering.uark.edu/electrical-engineering-computer-science/ Artificial Intelligence and Computer Vision Laboratory Website: https://uark-aicv.github.io