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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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for molecular systems and thin films in combination with AI-driven process optimization. Help us shape the future of chemical research! Self-driving lab platform for photochemical and porosity research Join a
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-time operation. The project will focus on how AI and mathematical optimization can be combined to support sequential bidding decisions under uncertainty. The initial use case will consider a wind power
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. PhD Position on Nanozyme-based coating for antimicrobial implants Your tasks Design and synthesize nanozymes: Develop nanozymes, and optimize their physicochemical and catalytic properties. Develop
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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testing and optimization of different purification methods
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capacity available to power markets with flow-based market coupling. Developing methods for optimally allocating the additional transfer capability enabled by increased transformer loading limits across day
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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration