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Sign in to bookmark Portal App Scholarship information The Transfer to Interdisciplinary Natural & Mathematical Sciences (TraIN) scholarship project provides funding for transfer students in a
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Eugene & Elizabeth Lukacs Scholarship Scholarship provides summer support for graduate students studying statistics in the Department of Mathematics and Statistics. Eligibility: Full-time graduate
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Science Deadline 05/15/2024 Supplemental Questions Discuss why you would like to pursue a degree in Computer Science/Software Engineering. What are the highest school/college mathematics courses you have completed
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/ Bachelor's or Master's degree in Oceanography/Physical Oceanography/ Marine Science/ Meteorology/Atmospheric sciences required. Applicants should have strong Physics, mathematical and computer programming
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Institutions pursuing a technical certificate, or an associate, bachelor, or graduate degree in a science, technology, engineering, or mathematics (STEM)-discipline that supports the critical needs
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within accounting and internal control procedures. Demonstrated the ability to successfully plan, organize, and direct the work of staff; perform accurate mathematical calculations, work independently and
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Research Scholar with a PhD degree in biochemistry, chemistry, molecular biology, and/or proteomics.
applications (word processing, spreadsheet, and database). Analytical ability sufficient for data analysis; mathematical ability sufficient to perform algebraic calculations and statistical analysis. Expressed
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eight academic units: Atmospheric Sciences, Biology, Chemistry, Geology & Geophysics, Mathematics, Metallurgical Engineering, Mining Engineering, and Physics & Astronomy. The role will require project
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development of researchers who are transitioning from training environments in the physical, mathematical, computational sciences and/or engineering into postdoctoral work in the biological sciences, and who
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studies with an academic focus on any of the following academic fields: science (including climate change), technology, engineering (including infrastructure studies), mathematics, computer science