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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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programme Reference Number AE2025-0597 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0597
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for Vehicle-to-Grid Solutions. Job description We are looking for a passionate postdoctoral researcher to join us for the Shift2Sustain project on evaluating and supporting Vehicle-to-Grid (V2G) solutions in
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generate embodied emissions. Post-retrofit emissions depend on energy system transitions (e.g., grid decarbonisation, and socio-economic factors including population growth and housing evolution (Mastrucci
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or specialized information for public use and understanding Event planning and coordination experience Web and design knowledge Experience using send grid, multi-faceted communications platforms Physical
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, and provider performance metrics. Collect and maintain information related to payers and plan relations, including the Payer and Plan Grid, Payer Profiles and Report Cards Oversee the tracking, follow
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description Third-cycle subject: Electrical Engineering The challenge: The electrical power grid is undergoing a fundamental transformation driven by increased digitalization, deregulation, and widespread
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especially challenging in Arctic and sub-Arctic regions, due to the extremely cold weather, long winters, limited daylight, and weak grid infrastructures. At the same time, these regions present emerging
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: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low-impact methods) GTI’s mission is to train
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Eligibility at a Glance grid. Background Check Required Yes For Best Consideration Date 1/15/2026 Eligible for Remote Work Yes Eligible for Remote Work Statement This position is eligible for a hybrid remote