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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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computing, data analysis and visualization, computational imaging and spectroscopy, AI and compressive sensing, and quantum computing to develop robust solutions that bridge theoretical frameworks with real
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research methods and data visualization. Excellent written and verbal communication skills and the ability to work collaboratively. Desired Qualifications Additional knowledge of Stata, Python, causal
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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environments such as All of Us Research Program, Terra or Google Cloud Platform (GCP) Integrate multimodal datasets (EHR + genomics and other omics) Lead data cleaning, pipeline development, visualization, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
. Description: This project aims to develop a next-generation wildfire risk assessment platform that tightly integrates Earth Observation (EO) data, deep learning, and dynamic fire behavior modeling
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managing complex and ad‑hoc datasets, creating clear and compelling visualizations, and conducting advanced analyses such as life table decompositions and comparative trends in disease burden across
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Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics