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Field
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imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological insights
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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. The Astronomy Unit includes a lively exoplanet/planet formation community, including the groups of Dr. T. Haworth, Dr. E. Gillen and Prof. R. Nelson. About Queen Mary At Queen Mary University of London, we
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for licensure in New Jersey. Applicants in All But Degree status will be considered for interviewing Preferred Qualifications Experiencewith data analysis software (e.g., SPSS, R, NVivo) Experience with health
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papers and reports including data collection and data analysis Proficiency using SAS, SPSS, R, and/or STATA statistical software Analyzing and interpreting various forms of cross-sectional, longitudinal
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., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department of Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
flexible but earliest from October 1st 2025. Selected recent publications from the group relevant to the projects Cancer: Tuysuz E. C., Mourati E., Rosberg R., Gialeli C., Johansson E., Governa V., Belting M
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ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including
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Platform for a Sustainable and Competitive Maritime Industry (tentative name) " (FY2025-FY2030, PI: Yasumasa Miyazawa), for the "Key and Advanced Technology R&D Through Cross-Community Collaboration Program