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unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
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, electric mobility, industrial electrification and modern power grids. New wide-bandgap semiconductor devices based on silicon carbide (SiC) and gallium nitride (GaN) can switch faster and reduce conversion
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Inegrating batteries into traction grids is finding new
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the network to be upgraded in terms of data rate, modulation format and wavelength grid without having to replace the network electronic switches. Furthermore, the lack of an O/E/O conversion reduces power
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section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also
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Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also with academics from
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. Peter Palensky (Chair IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer
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grid operators and other stakeholders make robust decisions when the data they need cannot always be shared? The transition to sustainable heating is one of the biggest challenges of the energy
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accurate despite the large temperature gradients present in cryogenic experiments. You will explore full-field techniques such as digital image correlation, speckle and grid methods, interferometry, digital
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IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities