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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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-generation intelligent hardware. As embedded AI hardware continues to redefine intelligent computing, this PhD offers direct access to cutting-edge silicon design workflows through Cranfield’s EUROPRACTICE
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The Faculty of Engineering, Department Toegepaste natuurkunde en fotonica, Research Group Applied Physics is looking for a PhD-student with a doctoral grant. More concretely your work package, for
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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. This PhD project focuses on a pivotal aspect of the fusion fuel cycle: efficient tritium extraction from lithium-based breeding media. In particular, Tokamak Energy’s innovative liquid lithium blanket design
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research team at the Technical University of Munich in collaboration with the Walther-Meißner-Institute of the Bavarian Academy of Sciences and Humanities and open a PhD researcher position for a quantum
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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industries, including transportation, consumer electronics, and industrial automation. This PhD project focuses on the design and optimization of intelligent systems with an emphasis on energy efficiency and
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hardware landscape, this PhD project can explore one or more of several directions. The exact design of commercial hardware is a jealously guarded secret, and the numerical behaviour of a specific device has