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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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Sentinel-2) and integrate them with ancillary data including airborne lidar, tree-species maps, and gridded climate fields. Produce spatially explicit climate risk layers, including drought-stress maps by
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recovery, participation in wholesale, balancing, and reserve markets, grid connection and connection agreements, and the techno-economic and business case assessment of flexible operation. The work spans the
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The Center for Urban Policy Research (CUPR) seeks Postdoctoral Associates to support externally funded projects aimed at accelerating building and grid decarbonization for a sustainable energy transition. CUPR
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, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool
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“Organizing Across Boundaries for Responsible Use of AI: Towards Interconnected Smart Grids in the Nordic Energy Sector” (ORBIT). The position will be affiliated with the ORBIT Consortium (described below) and
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to support your professional growth. Job requirements You hold, or expect to obtain before the start of the project, a PhD degree in a relevant discipline. You have a relevant research track record in one
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Electrical Engineering or a closely related field in hand by
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Electrical Engineering or a closely related field in hand by
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fundamental IC innovation with hands-on experimental work. You will publish your findings at leading solid-state circuits and sensor conferences and in journals, and co-supervise MSc and PhD candidates. You