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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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position in the area of Learning, Optimization, and Decision Analytics. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Industrial Engineering and Computer
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
-PULSE addresses a key open question in responsible AI: can we design practical machine learning systems that satisfy strong privacy guarantees [1] and fairness [2] constraints simultaneously, without
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Vision Assistive Technology." Under this project we are developing new head-worn technology that informs and assists users with profound visual impairment about objects, people, obstacles, hazards, etc. in
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the School of Computer and Engineering Sciences, at s.czanner@chester.ac.uk . Please visit our website at https://www.chester.ac.uk/about/jobs/ and applications should be made via the ‘Apply’ button above
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: Instruct classes utilizing techniques and knowledge of the discipline that facilitate student learning. Effectively use computer applications for instruction, communication where appropriate and maintaining
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engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not
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, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration to continue
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an experienced BAS-focused engineering professional to provide engineering design, standards, and program oversight for campus Building Automation Systems that support learning, research, and campus life. In
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and