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expertise in advanced statistical methods involving HLM is highly preferred. All applications are due by May 5, 2024. Earliest preferred start date: June 1, 2024. Qualifications: Ph.D. in Psychology
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), and four state agencies (FL, GA, SC, NC). Candidates for this position should possess a PhD in quantitative fisheries, statistics, applied mathematics, marine fisheries ecology, theoretical ecology
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mouse tumor models with oversight from the PI Carry out experimental protocols with appropriate technical rigor and accuracy, interpret experimental data, carry out required statistical analysis, and
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different experiments, analyze, interpret, and synthesize results using state-of-the-art scientific and statistical methods, and propose conclusions and follow-up investigations. Present research findings in
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, statistical analysis and open-ended data mining; applied machine learning including Natural Language Processing and image recognition; interactive data visualization; and website development. Evidence of
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skills include statistical analysis and open-ended data mining (social network analysis will be particularly helpful); applied machine learning including Natural Language Processing; quantitative content
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in statistical methods, a strong work ethic, the ability to work in a multidisciplinary and collaborative group, and a track record of publications. The candidate must also be willing to mentor
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gain access to the required NOAA systems. Applicants must have a Ph.D. in oceanography, applied math, statistics or related discipline, and a background in oceanographic research at the post-doctoral
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, interpretation, and handling of hurricane forecasting models and data products. Statistical and econometric analysis of observational data. Technical writing and presentation of analyses. Requirements
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genomics background and experience with metagenomics. Other essential qualifications are a background in statistical methods, a strong work ethic, the ability to work in a multidisciplinary and collaborative