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to a net zero economy, electrical power systems are rapidly decarbonizing supply whilst electrifying carbon-intensive demand. There is therefore an acceleration in the connection of low carbon
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computer science, mathematics, or statistics and a strong interest in empirical analysis and interpretation. Areas of specialization can be, for instance, network analysis, computational geometry, or time
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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computer science to develop new AI methods in the context of particle physics. The program builds an interdisciplinary PhD network between universities and research institutes in Copenhagen, Geneva
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under the Horizon MSCA Doctoral Networks Programme. We welcome applications from PhD candidates from any country fulfilling the following mobility criteria: Eligible candidates must not have resided
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Job Description We are looking for a motivated and creative candidate to fill a position as a PhD student as part of the MSCA Doctoral Network “SPACER” (Shaping Porous Electrode Architecture
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of improved workflows in field studies These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome-based leveraged microbiome management in the context of One
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benchmark for designing circular chains and networks. The PhD position is embedded in the research programme OPERA of FEB’s Research Institute. The project will be supervised by Prof. Dirk Pieter van Donk and
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Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues
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-funded project Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing