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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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for devices containing quantum materials. The project addresses this gap by developing measurement protocols which test the Hamiltonian hypothesis and hence support the materials discovery process. [1] E. Lupo
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Modeling for Hydrogen Storage (m/w/d, E13 TV-L, 75%) Responsibilities: Develop a pore-scale model for two-phase flow of hydrogen gas and brine Develop a bioreactive-transport model and couple it with the two
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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-adherence to asthma medicines. Evidence synthesis: To develop "programme theories" based on implementation science mechanisms on how hospital services can deliver behavioural interventions. Co-design: Working
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PhD Studentship: Robust quantum control for quantum error correction The development of fault-tolerant quantum computing is one of the most coveted aims of quantum technology. It will bring about a
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domestic and international candidates for a fully funded PhD position in Civil Engineering focused on: Development of ultra-low carbon concrete systems Integration of biochar derived from organic waste
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KNAW Early Career Award Behavioural Sciences, Social Sciences and Law Humanities More The KNAW Early Career Award encourages the further development of a diverse range of early career scientists and
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relying on incremental optimisation of existing materials. By developing novel multilayer dielectric materials with ultra-high breakdown strength, the research will revolutionise electrified technologies