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fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems
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position, you will lead the development of a probabilistic, error-aware surrogate model capable of delivering fast, uncertainty-quantified predictions for complex multiscale–multiphysics processes in OFPV
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, reflected in demonstratable outputs. A proven ability to manage complex projects to completion on schedule. Excellent communication and collaboration skills, with experience or willingness in engaging diverse
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higher education to address increasingly complex societal problems, such as climate change or the refugee crisis, which cannot be solved by individuals alone. Creative Problem-Solving (CPS) is a structured
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materials and improving the sustainability of the battery value chain. Hydrometallurgical recycling is particularly suitable to handle the complex and variable composition of industrial Li-ion waste streams
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systems such as supply chains, transport, energy grids, and water networks. When floods, pandemics, or other disruptions hit, these support systems can fail, creating cascading risks: ambulances can’t reach
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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access Job description Healthcare is more than hospitals and its workforce - it depends on a web of critical support systems such as supply chains, transport, energy grids, and water networks. When floods
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spent batteries is key to recovering valuable materials and improving the sustainability of the battery value chain. Hydrometallurgical recycling is particularly suitable to handle the complex and
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proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A