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Field
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industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
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candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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organisms have been lacking. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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requirements in conflict zones and other industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in
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for understanding the drivers of optimal soil functionality. Developing new analytical methods is necessary to better assess and exploit these functions. Particular attention should be given to the soil microbiome
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Designing tailor-made soil amendments is a promising approach to steering and optimizing soil microbiomes and soil functions. These amendments should preferably be derived from renewable and circular sources
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for sustainable spare parts management using additive manufacturing. You will explore how to: Design supply chains that include AM-based remanufacturing facilities. Optimize spare parts inventories and ordering