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Field
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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, including participant recruitment, measurement, and ethical research practices. Skill in quantitative data analysis, statistical modeling, and data visualization using R, SPSS, or related programs. Skill in
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hyperparameter optimization and conformal prediction methods; The online monitoring of model reliability and performance indicators in dynamically changing environments; The integration of synthetic data from
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description We invite applications for a 2-year postdoctoral position with the possibility of extension. The successful candidate will lead experimental campaigns and data analysis to quantify greenhouse gas
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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experiments. Maintaining the electrophysiology rig, keeping accurate records of experiments, performing data analysis, and creating figures for publications and grants. Rodent survival surgery: Coronary
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. Organizational Status Reports to the Principal Investigator. Work Performed Conducting fMRI data preprocessing and analysis, the work is routine in nature or performed according to established protocols Creating a
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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
thaliana. Techniques planned: * Imaging cytometry for quantitative analysis of subcellular metabolite localization. * High-throughput CRISPR screening. * Transcriptome data generation and analysis. * Cloning