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machine learning, robotics, embedded and cyber-physical systems, communications and networking, signal processing, semiconductor and VLSI design, quantum computing, and emerging hardware technologies
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may be considered). Preferred Qualifications: Master's degree (foreign equivalent or higher) in Electrical Engineering, Computer Engineering, or a closely related field. Experience developing technical
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for automated data interpretation and reporting; completing relevant courses (60 ECTS). You will work here This EngD position is jointly embedded within OnePlanet Research Center (see below) and Wageningen
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, methods, and emerging data science tools to advance their research through hands-on training and expert guidance. Based in the Division of Social Sciences and in partnership with the Division of Computing
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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. Familiarity with automotive systems, electric vehicles, and embedded BMS constraints. Experience with system identification, uncertainty-aware modelling, large datasets, and machine learning. Evidence of
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 260479 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Energy, Climate
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Highlights The Department of Systems & Industrial Engineering is seeking an instructor for its Embedded Computer Systems course. SIE 370 covers Boolean algebra, combinational and sequential logic circuits
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& Pervasive Systems, including sensing & sensor information processing; IoT and embedded systems; embodied AI and robotics systems; mobile and pervasive systems; context-aware and edge computing platform. o
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& Pervasive Systems, including sensing & sensor information processing; IoT and embedded systems; embodied AI and robotics systems; mobile and pervasive systems; context-aware and edge computing platform. o