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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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Job Description Are you up for the challenge of joining a highly ambitious research group involved in a joint project with international academic and industrial partners towards developing scalable
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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. The PhD project in the Loft Group will investigate how patient-specific responses to obesity and type 2 diabetes in human adipose tissue contribute to the development and progression of MASLD and CAD
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. Qualifications The successful candidate holds a Master of Science in Engineering Science, preferably focusing on Innovation and Product Development, with excellent CAD skills and can collaborate in cross
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generally. The expectation is that the PhD project can extend on and further develop these theoretical debates by applying them to extreme wealth. The central question for WP2 is thus: What role should we
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.
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develop experimental research performing magneto-optical spectroscopy combined with electronic transport to investigate light-matter interactions in 2D materials. Our goal is to access and control new