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. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: A PhD or equivalent experience in engineering, the physical sciences, or applied math. Experience
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partial telework schedule can be arranged. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: A doctoral degree (PhD, DrPH, EdD, DSW, JD or equivalent) in a
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Qualifications – Assistant Research Engineer: PhD in relevant field, or at least a Master of Science Plus +5 years of relevant experience, or a Bachelor of Science plus +10 years relevant experience Evidence of
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. Vaccine Protocol Position Summary/Purpose of Position: The Applied Mathematics & Statistics, and Scientific Computation (AMSC) program is an interdisciplinary graduate program that awards MS and PhD
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; climate change and health). Excellent written and oral communication skills. Preferences: Preferences: PhD in environmental health science, environmental science, environmental or health policy, public
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, workshops, and visits by external stakeholders Must be eligible for a U.S. security clearance Minimum Qualifications and Expectations – Associate level Research Scientist: PhD in a relevant field plus 5 years
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of the applicant’s qualifications and potential for innovative, ground-breaking independent research and the expected date of completion of the PhD requirements, if still in progress. Applicants should email all
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: Education: PhD in remote sensing or related field. Experience: Experience with lidar data and/or biomass mapping. Coding in R or pytho. Empirical model development / application. Academic paper writing
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Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: PhD or EdD in mathematics education or a closely related field with coursework and experience in mathematics
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: Education: PhD in Chemistry, Biology, Nutrition, Epidemiology, Statistics, or a related field. Experience: 8 years of relevant experience to education. Experience in research management, complex data analysis