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website. TERM One year, with the possibility of another year extension depending on successful progress. QUALIFICATIONS Applicants should hold a PhD in Earth Science, Environmental Science, or a related
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require self-direction and the ability to work effectively with other team members, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a
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, predictive assembly of complex microbial communities, and programming of self-organized pattern formation in engineered bacteria. Duke is an Equal Opportunity Employer committed to providing employment
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protocols and equipment. · Design, execute and document experiments with sufficient detail to understand and repeat by other lab members. · Update lab members on new developments in commercial reagents and
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and their stability under changing climatic conditions. This is an emerging research topic of significant practical implications for the design of climate-resilient plants of the future. Candidates for
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, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and
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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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, geochemistry, earth and environmental science, or a related field. • Experience working in a research laboratory, including designing and conducting research experiments independently • Demonstrated ability
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of epidemiological methods and study design Strong experience in statistical genetics, omics technologies and their data analysis Proficiency in programming language (e.g., R, Python), statistical software (e.g. SAS
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, including literature review, experimental design, data analysis, collaboration, and dissemination of findings through conferences and publications. Apply for fellowships and awards, and provide mentorship