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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 hours ago
data collection and data analysis and are required to publish the data research findings in peer-reviewed journals and present results at scientific conferences and meetings. The Research Associate will
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
representing mobility flows and EV trajectories from the collected data. • Redesign the model to incorporate more complex, nonlinear trajectories by removing constraints from the initial bipartite graph
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational
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, open-source relational database (RAD-CI) with Greenland-wide radiocarbon-based relative sea level (RSL) data and leverage this dataset for a comprehensive analysis of Greenland RSL changes since the last
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a successful candidate you will be actively involved in various research activities including laboratory and field experiments. Key Responsibilities Develop and formulate new simple and complex
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-wide radiocarbon-based relative sea level (RSL) data and leverage this dataset for a comprehensive analysis of Greenland RSL changes since the last deglaciation. Duties include but are not limited
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to observe and understand how societies evolve over time. One focal point of the Macroscope is language, specifically the research infrastructure needed for the annotation and analysis of textual data
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1PF. The Project The research will centre on the analysis of complex datasets generated during accelerated stress testing (AST) under demanding conditions (e.g. high voltage, high rate, elevated
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to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty, providing rigorous theoretical guarantees, and modelling complex physics