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models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning models combining CT imaging and clinical data, trained on the unique
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal quality of life. The center brings together the best possible
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control systems. It will address practical limitations that prevent reaching theoretical performance, with particular emphasis on optimal feedback design, actuator optimization, and novel control strategies
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profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will generate a genome-wide overview of translational regulation during development. In
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. 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 generate a genome-wide
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a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
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involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter assays and RNA sequencing in iNeurons. Using advanced techniques
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 7 hours ago
focus on developing, analyzing, and optimizing the electrochemical system design, paying particular attention to electrode materials, the separator required for the absorption and desorption processes
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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