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Stimulation (TMS), Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and Electromyography (EMG). The role involves the acquisition, processing, and analysis of signal data, the application
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at the Center for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We
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://profiles.wustl.edu/en/persons/jaebok-choi/ and https://oncology.wustl.edu/people/jaebok-choi-phd/ . Trains under the supervision of a faculty mentor including (but not limited to): Manages their own project, which
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Summary: We are seeking a highly motivated recent or pending MD and/or PhD graduate to work in a molecular and
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analysis and interpretation of multidimensional microscopy datasets, integrating image processing, spectroscopy, diffraction, and computational methods to extract meaningful scientific insights. 3) Lead the
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implementing BCDI, XPCS, nano-beam and time resolved microscopy, PDF, 3D imaging techniques, PCI, and other techniques for advanced characterization of materials across solid-liquid and into melt. Measurements
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
after the first year, with a flexible start date as early as October 2026. Research in The Aguillon Lab focuses on understanding the speciation process through the use of genomic datasets collected from