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theoretical and numerical methods based on optimal control to optimize sensor selectivity and sensitivity. Using this setup, different sensor targets will be explored experimentally, and the data should be
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the system to learn optimal adjustment policies directly from interaction with the physical infrastructure. Anomaly detection and fault diagnosis. The candidate will develop a multi-level diagnostic framework
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market, there are many different types of LIBs with variable composition feedstocks and structures. It is not uncommon that in the same batch collected from end-of-life markets, there are different types
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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learning, operations research and optimization, developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both
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) for automation and workflow optimization. Contribute to project management, meeting/conference presentations and journal publications and assist with preparing grant applications to establish new projects in
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-based) with emphasis on modelling, control, optimization, and real-time implementation, for example within specific Power-to-X applications. Relevant domains include (but are not limited to): Electrical
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(Bash) for automation and workflow optimization. Contribute to project management, meeting/conference presentations and journal publications and assist with preparing grant applications to establish new
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research has focused on optimizing materials chemistry to improve performance. Despite these advances, the fundamental processes governing electrochemical interfaces, particularly their degradation and