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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
Qualifications The applicant should have a background in astronomy, planetary science, or Earth science, especially including astronomical image analysis from telescope or remote sensing data. Experience with
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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for Autism and Neurodevelopment (https://autism.psychiatry.ufl.edu/ ), the UF Clinical and Translational Science Institute (CTSI) Human Imaging Core (https://www.ctsi.ufl.edu/research/laboratory-services/human
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academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical
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Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation/. Job Summary Primary Duties and Responsibilities: Bioinformatic analysis
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skills and interest in analysis of audiovisual materials (including sound, images and video). The fellow will work closely with the WMP Co-Directors, WMP’s Program Manager, and QAC faculty and staff
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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction