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to support research on how climate change and demographic change are reshaping prospects for sociopolitical stability, conflict, and violence in Africa. Successful candidates will have strong statistical and
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with R, Python, Netlogo), statistical analysis/econometrics, and epidemiology modeling. Experience developing mathematical/simulation models to address problems in public health, epidemiology, or health
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complex research protocols to address research questions Make significant important contributions to the group's research, analyze data and prepare graphs/ charts, including statistics. Contributes
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collection and analysis procedures. Perform statistical and visual analysis of data, interpret data, and assist in judging validity of data. Assist in the design and implementation of complex data capture and
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analysis field) or current pre-doctoral student ●Strong skills in data management and analysis in a healthcare field ●Training and documented experience with quantitative and statistical analytic methods
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with statistical analysis; interprets and evaluates results and compiles data for peer and PI review. Strong statistical and computer programming skills, including scripting (i.e., MATLAB, R, Python
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analyses of occupational health data. -Prepare, compile, and analyze statistical data. -Prepare manuscripts and research grants. -Participate in professional development opportunities, including organizing
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, signaling and morphological changes. This research relies primarily on advanced computer simulation methods, rooted in statistical mechanics and machine-learning, some of which are designed within
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, Speech-Language Pathology, Education, Human Development, or related field. If the Ph.D. Strong methodological and statistical skills, ideally including multilevel modeling. Significant training and
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working in fast-paced environments. Ability to conduct statistical analyses and design research methodologies for evaluation purposes. Excellent communication skills and ability to collaborate effectively