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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
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Candidates are expected to have a PhD in physics, chemistry or materials science by start of the appointment. Candidates will be evaluated on: Strong background in neutron scattering Scientific qualifications
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development process. Additionally, the position will select rotations in the RD field (project management, workshop development, etc.) to develop a broad understanding of RD career paths, while developing a
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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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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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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
) YesNo Physical Medicine & Rehab (6) YesNo University Police (6) YesNo Medicine-Hematology & Oncology (5) YesNo Psychological Sciences (5) YesNo Restorative Clinical Sciences (5) YesNo Student Health
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Biomedical/Health Informatics (7) YesNo Executive Comm & Marketing (7) YesNo Facility Operation Student Aux (7) YesNo NextGen Precision Health (7) YesNo Physical Medicine & Rehab (7) YesNo Psychological
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Health (8) YesNo Physical Medicine & Rehab (8) YesNo School of Nursing (8) YesNo Biomedical/Health Informatics (7) YesNo Energy Management (7) YesNo Facility Operation Student Aux (7) YesNo MO Institute
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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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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