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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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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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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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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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University of California Agriculture and Natural Resources | Davis, California | United States | about 22 hours ago
interfaces, and system integrations. Work includes the full software development lifecycle including requirements analysis and design, quality assurance, maintenance, and documentation. Collaborates with
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | about 8 hours ago
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University of California, San Francisco | San Francisco, California | United States | about 11 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
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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position for a Research Assistant to investigate the molecular mechanisms and complex social behaviors associated with rapid-acting antidepressant treatments. The project involves the implementation