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, and electronic applications, yet its production is energy-intensive and relies on global supply chains. At the same time, the photovoltaic and semiconductor industries generate large volumes of silicon
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simulation, computer vision, and advanced statistical methods for their analysis. The project also involves close collaboration with industry partners such as shading system manufacturers to develop nature
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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The rapid electrification and digitalisation of society are creating increasingly complex electromagnetic environments. Fast-switching power electronics in vehicles, buildings, hospitals and farms
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electronic switches. Furthermore, the lack of an O/E/O conversion reduces power consumption compared to the electronic counterparts and reduces the amount of costly optical transceivers. Moreover, photonic
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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the University of Groningen. The research will be carried out in the Innovative Computer Architecture group. The group of Dr. Farhad Merchant conducts internationally recognized research on computing-in-memory
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Research Council (NWO), which investigates foundation models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer
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, additive manufacturing, and data science. Silicon carbide is widely used in demanding thermal, structural, and electronic applications, yet its production is energy-intensive and relies on global supply
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electron microscopy. PhD candidate 2 will use this fundamental understanding to extrapolate towards more complex textures, including entire lattices and guided by state-of-the-art nano-lithographies, in