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Are you interested in optimization and data science? Are you motivated to contribute to answering one of the key challenges facing agricultural systems today: how can agricultural supply chains
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. Model transition pathways for the ABEL technologies to integrate into existing or new value chains. Minimize energy and resource use through efficient heat exchange, waste heat recovery, and optimized
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use through efficient heat exchange, waste heat recovery, and optimized process conditions. Assess and reduce environmental impacts, such as greenhouse gas emissions. Validate models with literature and
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layer for gene expression control and numerous other processes in the cell. In this context, individual and combinatorial modifications guide spatiotemporal recruitment of regulatory factors to specific
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design specific constructs to edit transcription factor genes and their target promoters, and analyse the effects of optimized gene expression regulation on plant performance under optimal and field-like
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-efficient computing? Do you want to contribute to cutting-edge research at the intersection of systems and control theory, optimization, circuit theory, and neuromorphic computing? The University of Groningen
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expertise, preparing them optimally for future challenges.
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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the Netherlands and the United States and will employ 11 PhD candidates, 1 EngD candidate and 4 postdoctoral researchers. You will closely collaborate with another PhD candidate developing optimization and
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon