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-resilient crops like tomatoes. Proven record of research productivity with publications in peer-reviewed journals. Proficiency with statistical analysis tools (e.g., SAS, R, XLstat, Multivariate analysis
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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or gene editing by CRISPR-Cas9 is required. Experience with flow cytometry and/or mass cytometry analysis is desirable. Interest in learning new technologies is mandatory. Basic R programming skills
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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equivalent, analysis of MRI data (SPM, FSL, or equivalent), statistical analyses in MATLAB, R, Palamedes or equivalent, low vision or blind patient recruitment and interaction, IRB submission and management
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analysis). Skills in programming and scripting languages (Python/R/Matlab). A strong command of oral and written English. It is an advantage if you have Experience with cloud-based compute infrastructure
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. Proficiency in statistical software (e.g., R, SPSS, Python, or MATLAB). A strong record of peer-reviewed publications. Strong communication, organization, and problem-solving skills. Preferred Qualifications
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the general direction of senior staff, the successful candidate will: • Support efforts related to analysis & design, technical assistance, and R&D of geothermal heat pump systems and district thermal energy
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of the following qualifications: Extensive experience in programming using Python, R, or other languages Research experience in greenhouse gases, or ecological experiments Insight into global