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- Centre for Genomic Regulation
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renewable energy technology. Carrying out life cycle assessment and life cycle sustainability assessment of four hybrid renewable energy pilot plants for the green transition of industrial energy users (ports
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objective is to develop R&D activities in the fields of renewable energies and clean energy technologies by establishing strong links with leading companies in the energy sector. (www.energy.imdea.org
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/physical) with a Master's profile in renewable energy. Previous experience in research projects of at least 2 year - knowledge of research laboratories, research methodologies, databases, etc. Demonstrable
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2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research ' Award from the European Commission. This is a recognition of the Institute's commitment
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Infrastructure? No Offer Description MDEA Energy Institute is a María de Maeztu Center of Excellence whose objective is to develop R&D activities in the fields of renewable energies and clean energy technologies
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in polymers enabling to address some of the technological needs of the 21st Century in energy, health and sustainability. The center includes more than 210 international researchers that have access
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) Electrochemical characterization of LMBs Area: Electrochemical energy storage (EES) Requirements Research FieldChemistryEducation LevelPhD or equivalent Specific Requirements CANDIDATE PROFILE: PhD in
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, particularly for energy storage systems for electric vehicles, and renewable energies and its integration and optimisation of smart distribution networks. In addition to technical skills, the candidate should
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Research line / Scientific-technical services: Marine Renewable Energy The purpose of this contract is collaboration in the research activities carried out within the project with reference 0073_AOWINDE_1_E
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improve the capabilities of future trigger systems. Candidates should have a PhD in High-Energy Physics or in a closely related discipline. Previous experience in trigger, pattern recognition algorithms