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(Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel utilization. DESIRE
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The DESIRE project (Decarbonising Energy-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel
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global anthropogenic CO2 emissions. Decarbonizing the cement industry to achieve net-zero is particularly challenging because a significant fraction of CO2 emissions stems from the intrinsic chemical
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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, teamwork • Ability to respond to challenges • Dealing with confidentiality • Efficiency with office software /Behavioral skills : • Self-learning and interpersonal skills • Excellent communication skills
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provided by the EUROfusion Horizon Europe consortium, which offers access to a large collaborative network and European EURATOM funding. To model the behavior of hydrogen in materials, we use electronic
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, workshops, and networking events. Application Procedure Applications should include: A cover letter describing motivation and fit for the project. A CV with details of education, research experience, and
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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' astrometric sources, i.e., suitable to define stable reference points with short multiwavelength link between radio and optical bands can be selected on the basis of photometric properties and possibly