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mathematical physics\statistical mechanics, Eagerness to explore complex mathematical challenges, English proficiency both written and spoken, Demonstrated the ability to conduct world-class research both
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
thermal properties in ablative and reusable materials. Like many common insulative materials, fibers can be packed to form a porous network that is used in reusable thermal protection, for example on space
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administrative data and identify the role of social power in the redistribution of income shares among salient social groups (e.g. workers, managers, owners and founders) drawing, for example, on elite network
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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting patents, and presenting results at conferences. The ideal candidate will possess demonstrated
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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A meaningful job in a
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models to analyze and mitigate fine particulate matter (PM2.5) exposure from various infrastructure systems (e.g., transportation networks, manufacturing systems, and truck routing). Assessing
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies