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, and analysis of engineering tests for advanced digital agriculture technologies. You will lead moderately complex testing efforts across mechanical, hydraulic, electrical, and software systems within
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for Biostatistics. In this entry-level role, the Research Data Analyst I will perform data analysis and research tasks under supervision, contribute to more complex projects, and assist in various aspects of data
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Assistant to work on a pioneering project on
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penalized and hierarchical modeling strategies. The successful candidate will contribute to outcome definition, data analysis, and model development, and will have the opportunity to engage in advanced
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Developing novel tools for the analysis of local order using total scattering data (TScat) EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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questions in computational complexity theory, more specifically in Boolean function analysis, query complexity, communication complexity, and circuit complexity. The specific questions to be studied will be
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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funding requests based on rigorous cost-benefit and risk-based analysis. Prepare detailed reports and presentations on maintenance planning, MUDSUP progress, and budgetary status for management. Communicate
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reactivity in Normandy is oriented towards organic chemistry and analysis. In terms of excellence in scientific research and training, CARMeN institute is one of the biggest organic synthesis laboratories in
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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis