37 parallel-processing "Computer Vision Center" Fellowship research jobs at Indiana University
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based in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine , in close collaboration with the Regenstrief Institute , a nationally renowned center for
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school in the United States, with a large academic health center in downtown Indianapolis, the 17th largest city in the United States. In addition to having active sports, cultural, arts, and
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, fluorescence) Computational skills for data analysis, signal processing, or simulation (Python, MATLAB ) Experience mentoring junior researchers Salary and Rank Special Instructions Applications
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research organization known for its contributions to health services, biomedical informatics, and patient safety. Selected candidates may engage with one of the Institute’s centers, including the Center
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undergraduate research assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related
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photonics, and related quantum technologies. Design, fabricate, and characterize quantum-material and nanoscale devices using techniques that may include materials synthesis and processing
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data, Bayesian statistics, random object analysis, and optimal transport. Experience with neuroimaging data processing and analysis is a plus. The fellows will work with an interdisciplinary team
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photonics, and related quantum technologies. Design, fabricate, and characterize quantum-material and nanoscale devices using techniques that may include materials synthesis and processing
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designing, generating, and evaluating AAV vectors, contributing to ongoing gene therapy studies and the broader goals of translational research in this area. The Herman B Wells Center for Pediatric
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graduate are also welcome to apply. Hands-on experimental experience with developing optical systems and the use of lasers. Proficiency in data processing software e.g., Python, Matlab. Exhibits excellent