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areas such as data analysis, statistical modeling, machine learning, numerical modeling, or remote sensing Preferred Qualifications A general understanding of ecosystem modeling or ocean circulation
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the various aspects of clinical and translational research projects, including study design and development, IRB submission, informed consent, data collection and analysis, abstract submission, data
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to candidates with knowledge of infectious disease epidemiology Responsibilities Lead the development and analysis of mathematical models to support the early detection, forecasting, and mitigation of emerging
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system dynamics and hydroclimate extremes. Strong programming skills including analysis of large hydroclimate datasets in Python or similar and creating analysis and visualization workflows on a
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. This position is for one year with
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the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute to the publication of scientific papers and presentation
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the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute to the publication of scientific papers and presentation
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open science. Prepare and lead manuscripts for publication related to study aims. Mentor Ph.D. students and/or research assistants in data analysis, manuscript preparation, and other research activities
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groups, photovoice). Skilled in qualitative data analysis and community-based approaches. Demonstrated commitment and ability to collaborate across disciplines to address complex challenges. Strong
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experience. Responsibilities Perform research in the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques. Contribute