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, integrating mechanistic experimental studies with insights from human populations. We use single-cell and spatial genomics, epigenomic profiling, microbiome analysis, and large-scale human datasets to uncover
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combustion. We have develeped open-path DCS for atmospheric measurements over kilometer to multi-kilometer scale of many trace gases that are critical to climate change and air quality. We have
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https
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understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling; multi-modal scene sensing
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position has not yet been filled. Position description The Bowers Women’s Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and
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collaboration with leading academic and industrial partners, access to state-of-the-art robot platforms, full-scale industrial sites, multi-sensor labs, and advanced network testbeds. The teams are
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 12 days ago
lines of code and over a million commits. Most existing tools still treat code at the level of individual text files, which limits their ability to scale when changes span many files (e.g., automated
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includes both planning and operational implementation, and you will play a key role in coordinating and delivering this complex, multi-organization initiative. Your main responsibilities will include
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provide comprehensive proposal development assistance for large-scale interdisciplinary, multi-institutional projects. Excellent writing, editing, and interpersonal communication skills. Exceptional
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-frequency data (1 hour of FAST data = 20 TB of data). Analyzing this data requires an expert in large-scale data analysis, multi-instrument approaches, and cross-calibration of data in terms of flux and