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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean
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instruments and context-appropriate evaluation indicators • Conduct quantitative data analysis of the longitudinal survey and monitoring data • Draft evaluation reports, policy briefs, and technical
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to conceptualization, experimental design, data analysis, and writing. This is a research-focused position with no teaching obligations during the initial contract period. The successful applicant will join an
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programming, data analysis and statistics. Demonstrable works, such as a GitHub Profile with history of project works, for example of previous publications where the candidate performed such work. ● Generate
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programming, data analysis and statistics. Demonstrable works, such as a GitHub Profile with history of project works, for example of previous publications where the candidate performed such work. ● Generate
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, pupillometry, and/or gaze tracking (including years of master's and/or Ph.D.) Good knowledge of the anatomy and physiology of the visual system Knowledge in data processing, analysis and statistics Excellent
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. More information about the study can be found here: https://www.healthdata.org/research-analysis/gbd . Purpose of the post We seek a highly motivated researcher with strong quantitative skills, passion
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responsibilities will include: Prepare biological samples for TEM, including fixation, staining, sectioning, embedding, and mounting. Perform TEM imaging and support data acquisition and basic image analysis
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or his/her designate, including but not limited to the following: - Independently carry out the design and execution of experimental research required by the research component of the project. Develop