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worldwide, focuses on improving our understanding and management of global freshwater resources. You can read more about the project here: https://www.imperial.ac.uk/news/articles/engineering/civil
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will conduct research and develop products under multiple Eratosthenes Centre of Excellence projects funded by the European Union, including the flagship Excelsior H2020 Teaming project (https
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& Solar Power Plants Battery Energy Storage Systems (BESS) Smart Grids & Power Systems Sustainable buildings, communities and cities[EC1.1] Artificial Intelligence & Machine Learning for Energy Digital
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to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
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development. Job Details The successful candidates are expected to: • Conduct research in computer vision and deep learning, including literature review, hypothesis formulation, and experimental design
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enhance the competencies of the Institute in one or more of the following research areas: foundation models and efficient training/adaptation methods on HPC systems, generative AI and multimodal learning
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innovation and engineering execution. The ideal candidate will bring extensive experience in machine learning system design, product-oriented AI development, and hands-on project engineering management
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projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous
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H2020 Teaming project (https://excelsior2020.eu/ ) and the recently commenced MANIFESTO project. ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole
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H2020 Teaming project (https://excelsior2020.eu/ ). ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole stakeholder, specialising in earth observation