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Field
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in
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has a permanent staff of 35 academics in addition to 6 support staff. The school comprises the disciplines of Mathematics, Applied Mathematics, and Statistics, each led by a Chair in the discipline. Its
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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for quality control, supervision of data entry/data analysis, analysis of research hypothesis using descriptive and multivariate statistics, and the development of independent and collaborative presentations
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troubleshooting custom measurement systems. Skills in data analysis including scientific programming. Ability to communicate professionally and work in interdisciplinary teams. Minimum Qualifications PhD in related
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. Ability to work in multi-disciplinary teams. Minimum Qualifications PhD in Biogeomechanics, sustainable construction materials, or related fields upon hire. Preferred Qualifications FLSA Exempt Full Time
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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. Minimum Education and Experience: PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field required. Experience in collecting and analyzing data Solid background in
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Predominantly Undergraduate Institution in preparation for an academic career. Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in a biological/biomedical field related