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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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The USC Viterbi School of Engineering (http://viterbi.usc.edu( opens in new window) ) at the University of Southern California seeks outstanding research faculty candidates for full-time, non-tenure
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT
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theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI
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-accelerated, for self-aware neuromorphic system-on-chip (SoC) architectures, enabling fast and accurate exploration of emerging hardware and learning paradigms. The framework will support rapid prototyping
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, control, and hardware solutions for converter-dominated power systems. Application areas include next-generation megawatt charging infrastructure for heavy-duty electric vehicles and power electronic
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communication skills in English (essential for scientific publication and international collaboration). A genuine interest in experimental hardware work, including hands-on laboratory measurements, prototype assembly
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). Participate in grant writing for the addition, upgrade and replacement of CCIC mass spectrometry hardware. Communicate with and promote MS capabilities to Ohio State and national CCIC MS users by email, up
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
benefit from the hardware and software resources of the lab experimental platform. The student will be supervisedthroughoutthePhD by Margot Vulliez and David Daney, researchers specializing in modeling and