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University Duties This PhD project is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on multi-scale modelling of aqueous organic redox flow batteries, to build a predictive
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electrons are not well understood, which, for example, limits our ability to design photocatalyst materials that deliver optimal light absorption, catalytic activity, and energy transport. Molecular
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work as well as to develop optimal control strategies for energy systems including building energy systems, energy storage systems and fire systems. The role will focus on conducting comprehensive data
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; • Experience in optimization applied to electrical power systems; • Knowledge of grid codes and system service provision by renewable energy parks; • Knowledge of tools and methodologies for reliability
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an optimized phenotype (e.g., tolerogenic activity), optimizing co-culture with lactobacilli strains, and developing the small-scale fermentation process. Where to apply E-mail selezioni@bio.unifi.it
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shallow and semi-deep geothermal installations. The project will leverage system integration and optimized operation of a state-of-the-art geothermal energy system, The Living Lab, installed
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, stationary energy storage systems (batteries and supercapacitors), photovoltaic (PV) plants, and potential electric vehicle (EV) charging stations. Where to apply Website https://www.unipa.it/albo.html
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Associate will be actively involved in projects on optimization, data analytics, and control in power distribution systems, working closely with partners from utility companies and national laboratories, and
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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electrons are not well understood, which, for example, limits our ability to design photocatalyst materials that deliver optimal light absorption, catalytic activity, and energy transport. Molecular