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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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. Additional Qualifications: Experience writing for diverse audiences. Some editorial experience, in print or digital publications. Digital skills, including mapping and visualization software and Linked Open
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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(longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses, time series
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electrochemical techniques. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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sources to populate SHADAC’s online data visualization tool: State Health Compare Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization
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of Alabama and beyond. The successful candidate will apply tools including (but not limited to) Data Acquisitions, Data Mining, Data Visualization, Machine Learning, Statistics, Optimization and Simulation in
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background in the visual arts and/or design is looked upon favorably. Special Instructions Please submit a CV and up to three examples of first author papers, as well as the contact information of no less than
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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of the Institute include population health, clinical trial innovation, health informatics, artificial intelligence, therapeutic target discovery, and immersive visualization. Essential Functions: Methodologies in