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analysis of the project's qualitative and quantitative data. The role will involve contribution to the development of mixed-methods analytical strategies, syntesize findings based on data collected in
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anticipate it being possible to support a start date later than 2026. Key responsibilities and duties: • Leading on protocol development, data collection (lab and outdoor advertising), data analysis
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interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public participation approaches have been conducted or are considered. Your work will build
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scanners at our disposal. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD
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research and scientific publications Teaching experience at BSc and/or MSc level Strong quantitative skills — ecological data analysis and reproducible workflows in R and/or Python Fluency in English Desired
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Requirements PhD in a biological or physical science, or closely related field. Required Qualifications, Competencies, and Experience Demonstrated expertise in computational analysis of long-read sequencing data
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follow Yale University’s Postdoctoral Compensation guidelines and will be commensurate with experience. The current Year 1 minimum is $68,500. Information about benefits for postdoctoral appointments is
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validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
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more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students. On the international level we collaborate with universities and institutes in Europe, Asia, and