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to the principles set forth in the National Association of Student Financial Aid Administrators (NASFAA) Statement of Ethical Principles and Code of Conduct for Institutional Financial Aid Professionals and the USD
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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related field; PhD preferred. Five or more years of related experience. Preferred Qualifications: Experience in a supervisory capacity preferred. Intermediate coding proficiency in Python or R
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Qualifications: Masters degree in a related field; PhD preferred. Five or more years of related experience. Preferred Qualifications: Experience in a supervisory capacity preferred. Intermediate coding proficiency
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(NASFAA) Statement of Ethical Principles and Code of Conduct for Institutional Financial Aid Professionals and the USD Financial Aid Code of Conduct. USD is committed to fostering a dynamic and welcoming