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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
appointment within the UNC Lineberger Comprehensive Cancer Center. Minimum Education and Experience Requirements PhD in Bioinformatics, Genetics, Genomics or equivalent or related field. Required Qualifications
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development of standardized methods for local and national application. Qualifications PhD in a relevant field such as climatology, environmental science, data science, public health, or a closely related
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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using chemical, thermal, etc. approaches and conducting characterization of intermediates and products. Compile and interpret data including statistical analysis. Developing lab techniques and protocols
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given significant consideration in the selection process.Essential qualifications- Completed (or near-completed) Ph.D. in economics, statistics or a related quantitative discipline by the start of
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committed team — we want to hear from you. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets; familiarity with
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical, Computer Engineering or a
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many disease areas. The Group works closely with the clinical trials unit/network and has close links with applied methodologists (e.g. statistics, qualitative research, operational research/modelling
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive