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REQUIREMENTS: The Department of Materials Science and Engineering in the College of Earth and Mineral Sciences at The Pennsylvania State University is accepting applications for a research assistant with a PhD
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, or a related field with expertise in neuroimaging, MR imaging analysis, functional testing, statistical analysis, and a passion for translational research. Some prior experience with clinical research is
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restricted-access census and vital statistics data to assess the differential effects of Medicaid expansion, while also generating new poverty estimates at the county level nationwide. Based in Kansas City
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Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty
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of DNA adduct analysis. Ability to work with mouse inhalation exposure models. Minimum Qualifications PhD in toxicology or related fields. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time
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government review meetings, and give talks and seminars on technical topics. The candidate will have the opportunity to participate in writing grant proposals for new projects. Supervise undergraduate/MS/PhD
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training and development as well as daily work direction, delegation and establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation
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the Division of Cardiothoracic Surgery. This position is open for a person with a doctoral degree (PhD or MD) and who has prior experience and publications. In addition to their own project/experimental
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to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD
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renewal for year 2. Skills / Knowledge / Abilities Required Qualifications: • PhD in a relevant field such as forest ecology, forestry, silviculture or ecology, • Strong proficiency in statistical modeling