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formula. Preferred Qualifications Familiarity with Python, R and MATLAB. Experience with machine learning/deep learning. Master’s degree in a related field. PhD or near to completion of a PhD (or equivalent
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collected in this system to support empirical study. Build transmission models. Create, and curate software in R, python in support of a research program. Perform other related duties as requested. Minimum
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Qualifications U.S. Citizen or legal permanent resident required due to Federal Export Controls. PhD in life or physical sciences or an MBA with an undergraduate degree in life or physical sciences strongly
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equivalency formula. Preferred Qualifications U.S. Citizen or legal permanent resident required due to Federal Export Controls. PhD in life or physical sciences or an MBA with an undergraduate degree in life
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Statistics or from an education program with a strong emphasis in Statistics. Six years? experience as a quantitative researcher on applied research projects. Preferred Qualifications PhD in Statistics or from
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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postdoctoral associate level researcher interested and experienced in applied data science to work jointly with chemists, mathematicians, and computer scientists at NIST to participate in the characterization
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are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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: Doctoral-level degree in bioethics, philosophy, public health, law, medicine, social science, history or other relevant discipline, with fewer than five years of post-PhD research by the start date