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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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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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understanding different kinds of extreme meteorological events and how these may impact wind energy based power and energy systems. As well being involved in research projects you will take part in highly
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research, including data collection, processing, and analysis. Participate in or lead software development projects related to wind turbine blade research. It is required that the research is published as
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Empirical Software Engineering Mining of Software Repositories and Issue Tracking Systems Fluency in English is required. For further information, please contact Professor Fabrizio Montesi (fmontesi
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a