29 postdoc-in-automation-and-control-"Multiple" PhD positions at University of Groningen in Netherlands
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will
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theory and its strength in linear/nonlinear systems analysis and control of complex networks. According to the Shanghai Academic Ranking of World Universities (ARWU) 2023, Automation and Control
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the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
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the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
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either the guarantees it can provide or in its level of automation. Lifting this limitation is a clear goal, with a potential target language being TLA+. - The advent of smart contracts, programs deployed
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automation. Lifting this limitation is a clear goal, with a potential target language being TLA+. The advent of smart contracts, programs deployed on blockchain platforms, promises to significantly change how
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in scientific methodologies that have transformed the study of, and interest for bioarchaeological remains, makes the PhD project highly relevant across multiple academic domains. Although the botany
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multiple teams), and ill-defined (team boundaries are unclear). This challenges our understanding of the nature and effective management of contemporary teamwork. Therefore, the objective of the PhD project
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teams), part-time (employees work in multiple teams), and ill-defined (team boundaries are unclear). This challenges our understanding of the nature and effective management of contemporary teamwork
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healthcare delivery, aimed at improving quality while controlling costs. The two PhD projects will contribute to building a scientific foundation for how healthcare claims data can generate meaningful insights