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rare genetic disorders, using both distributed and federated computational approaches. Your key responsibilities include: Analyzing large-scale genomic datasets using innovative computational techniques
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predator avoidance and the distributed brain circuits that elicit behavioral (escape, freezing) and emotional (fear) responses. Studying these circuits simultaneously has been challenging, but larval
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interested in exploring how firms can collectively contribute to decentralized, sustainable energy systems? Are you curious about how digital platforms connect businesses with distributed energy resources
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and mass transfer in thermal arc plasma source to engineer a reactor for direct C2H4 production. Specific objectives include establishing evolution of species distributions by in situ line-of-site
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objectives include establishing evolution of species distributions by in situ line-of-site integrated supercontinuum laser based FTIR measurements in variation of the total arc length, establishing radial gas
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vitro models that enable more realistic, spatiotemporal cell–cell and cell–matrix interactions as well as distribution of soluble factors. The Materials-Driven Regeneration program The Materials-Driven
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generation of cell culture platforms. The goal is to develop miniaturized in vitro models that enable more realistic, spatiotemporal cell–cell and cell–matrix interactions as well as distribution of soluble
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. While there are promising applications in both academic and industrial settings, several important open challenges remain. These include out-of-distribution performance, low-resource settings, reliability
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remain. These include out-of-distribution performance, low-resource settings, reliability, dynamic settings, and transparency. Tasks and responsibilities You will: Conduct research within the scope
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and subsequently distribute within them, typically using microscopy-based techniques. The position is part of the national NanoMedNL consortium and the candidate will interact with other PhD candidates