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The Department of Psychology, Faculty of Health Sciences, University of Southern Denmark (SDU) invites applications for a fully funded postdoctoral position in selective visual attention and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 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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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
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, including induced pluripotent stem cell (iPSC)-derived cells. Knowledge of advanced bioinformatics tools for DNA/RNA sequencing data analysis, functional annotation, and data visualization (preferred
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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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, 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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. 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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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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transcriptomic/proteomic data analysis, or related analyses. Proficiency in Python and/or R, with experience in high-dimensional data visualization and integration. Experience with cell culture, tissue processing
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM