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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
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request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be
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they would design, organize, and conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and
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). Applicants with a PhD in a quantitative field (computational biology, bioinformatics, systems biology, genetics/genomics, statistics, mathematics, computer science, or related fields) are encouraged to apply
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, obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Strong MATLAB and/or Python programing skills – signal analysis, statistics, neuronal modeling
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. Solid experience with qualitative and/or quantitative (at least one; both preferred) data analysis, including sufficient knowledge in statistical tools and software. Strong scientific manuscript writing
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dependencies on the electrical properties will be assessed. In addition, AC and DC breakdown voltage testing will be performed on the various laminates and the results will be statistically analyzed in order to
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and willingness to have a societal impact; an empirical research focus and knowledge of quantitative content analysis and computational methods; proven proficiency in statistical software such as Stata
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with machine learning and, ideally, federated and/or deep learning methods intermediate to high level of statistical and mathematical skills excellent oral and written communication skills in English In