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reactive power reserves of synchronous and converter-based generators; (ii) tap-staggering; (iii) reactor/capacitor banks switching etc. The tasks to be developed are: (a) grid model data processing and
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. In addition, you must have: a solid foundation in energy technology and a strong understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling documented experience
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models for efficient coupling; and (3) analysing simulation and surrogate outputs to validate and refine the framework. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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related to staff position within a Research Infrastructure? No Offer Description Description NYUAD Experimental High Energy Physics group is searching for a post-doctoral associate to join the planned
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areas of innovation in the renewable energy sector, with a particular focus on emerging technological paradigms and scientific models that support their implementation in energy systems. The activities
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Institute of Theoretical Physics, Chinese Academy of Sciences, High energy theory Fellowship ID: Institute of Theoretical Physics, Chinese Academy of Sciences-High energy theory-POSTDOC1 [#31399
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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how alterations in brainstem circuits contribute to the onset and progression of Alzheimer’s disease. Murine translational models will be used. Electrophysiology and monosynaptic viral tracing will be
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complements research in snow physics, meteorology, and energy engineering to advance in measuring and modelling the amount of sunlight reflected by snow, and to use the results to enhance the solar energy
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environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its