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Field
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medicine, nursing, public health, psychology, sociology, health services research, health policy, bioethics, biostatistics, data science, and related fields. Candidates who bring quantitative or qualitative
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epidemiology, biostatistics, and/or health data sciences. Candidates with research experience analyzing longitudinal cohort or health registry data using causal inference methods, as well as those with research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Education and Experience Requirements PhD in epidemiology, biostatistics, computational biology, public health, or a related field Required Qualifications, Competencies, and Experience * Research experience
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the first authorship in a peer-reviewed publication. While expertise in T cell biology, radiolabeling, biostatistics, and animal handling is advantageous, it is not mandatory. Opportunities: You will join a
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molecular biology, demonstrated by first authorship in a peer-reviewed publication. While expertise in nucleic acid sequencing, biostatistics, cell culture, and animal handling is advantageous, it is not
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
including UNC-CH graduate students from a variety of disciplines (neuroscience, biostatistics, genetics), medical students, and residents. UNC Neurogenetics also provides the neurogenetics rotation for UNC
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molecular techniques, and biostatistics will be helpful. The candidate will have the chance to gain experience within molecular diagnostics, emphasizing ‘liquid biopsy’ cell-free DNA or biopsy DNA biomarkers
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., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and engagement in self-directed and guided research are required. Ability to meet deadlines
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Qualifications This position requires Ph.D. in public health or a related field (e.g., epidemiology, biostatistics, data science, etc.). A strong background in quantitative/qualitative methodology, writing, and
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and/or related fields including genetic epidemiology, human genetics, biostatistics, bioinformatics, computational biology, or phenomics (including EHR, deep medical imaging, and biomarker profiling