21 Physics Fellowship positions at Missouri University of Science and Technology in United-State
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Executive Comm & Marketing (7) YesNo Facility Operations (7) YesNo MO Institute Defense & Energy (7) YesNo Mining & Explosives Engr (7) YesNo NextGen Precision Health (7) YesNo Physical Medicine & Rehab (7
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collect and document data from research studies. • Conduct statistical analyses, process imaging data, and handle research informatics tasks. • Collaborate with fellow lab members on probiotic bacterium
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Health (8) YesNo Admissions (7) YesNo Biomedical/Health Informatics (7) YesNo MO Institute Defense & Energy (7) YesNo NextGen Precision Health (7) YesNo Physical Medicine & Rehab (7) YesNo Radiology (7
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Executive Comm & Marketing (7) YesNo Facility Operations (7) YesNo MO Institute Defense & Energy (7) YesNo Mining & Explosives Engr (7) YesNo NextGen Precision Health (7) YesNo Physical Medicine & Rehab (7
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concerns may be available. Fellows are expected to be physically located at MUCC during work hours—with few exceptions that must be approved by MUCC administration. Additionally, the Fellow will be tasked
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physics-guided MRI reconstruction, self-supervised learning approaches and deep learning-based image processing. Data Analysis: · Perform image post-processing and analysis for human and swine
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
to writing of protocol documents. Systematically collect and document data from clinical trials and research studies. Conduct statistical analyses, process imaging data, and handle research informatics tasks
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-Administration (9) YesNo Physical Medicine & Rehab (9) YesNo Psychological Sciences (9) YesNo Biomedical/Health Informatics (8) YesNo Ob, Gyn & Women's Health (8) YesNo Otolaryngology (8) YesNo Plant Sciences (8
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Executive Comm & Marketing (7) YesNo Facility Operations (7) YesNo MO Institute Defense & Energy (7) YesNo Mining & Explosives Engr (7) YesNo NextGen Precision Health (7) YesNo Physical Medicine & Rehab (7
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historical fire event datasets, modern vegetation and fuels datasets, and future climate-fire projections. This work builds on prior efforts of downscaling of the Physical Chemistry Fire Frequency Model (PC2FM