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on X-ray scattering data (e.g. powder diffraction, pair distribution function (PDF), single-crystal), preferably with experience in situ/operando characterization and large user facilities such as
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will primarily involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in
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, Saadiyat Island, United Arab Emirates [map ] Subject Area: Interdisciplinary Data Science and Artificial Intelligence Appl Deadline: none (posted 2025/07/31) Position Description: Apply Position Description
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for one year. The associate will have the opportunity to assist with data analysis and manuscript writing for a recently completed large randomized clinical trial on smoking cessation induction within a
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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. The position will work with researchers to manage community programs, develop and monitor research protocols, analyze data, prepare reports and presentations, and disseminate information to a national audience
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating