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Field
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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-smokers. The successful candidate will have a leading role in the analysis of bulk- and single cell RNA-seq data, miRNA seq data from scarce particle samples, multi-omics integration and network medicine
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researchers on the project including documented database and storage handling from the various sensing modalities, biomechanical analysis and interpretation of the motion capture data and generated motion
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
across diverse landscapes. To achieve this, we will first create a comprehensive, multi-modal data repository by integrating diverse streams of satellite, meteorological, and geospatial data, which
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
testing, mechanism evaluations, advanced quantitative and qualitative methods, systematic reviews/meta-analysis, and implementation science methods 2) receive a firm grounding in CIH concepts and research
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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. Particular emphasis to be placed on developing and applying emergent system identification and modal decomposition techniques as well as statistical analysis of large datasets. Candidate will disseminate
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. The successful applicant will integrate multi-modal live imaging and omics data using AI-based pipelines to identify and refine early disease phenotypes, laying the groundwork for therapeutic intervention