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Field
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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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student aims to investigate how specific fission products can be removed from molten salt. The emphasis will be on understanding and optimizing the removal process, where physical transport phenomena play a
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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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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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selection, but also in pricing, underwriting, and portfolio optimization. Despite the growing relevance of ESG in insurance, there is no widely adopted, data-driven framework that integrates ESG metrics
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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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antibodies) from individual serum samples. You will further develop and optimize these methods, with as special aim to enrich for antigen-specific antibodies. A secondary key objective is to improve
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will provide fundamental insights that help optimize chemical recycling processes, bringing Europe one step closer to a truly circular plastics economy. This PhD project is part of a national research
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support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In the FlexMobility project we propose a holistic
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increasing the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization