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Field
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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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of Health R01 DC017114. The goals of this grant are to understand the time course of listening effort, especially as it relates to listening with a cochlear implant. The PA is expected to focus on statistical
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. The appointment willbe for one-year, with the possibility of extension based on funding and performance.A PhD is r equired in cognitive neuroscience, psychology, statistics, orrelated tec hnical field.Programming
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. Christopher Emrich at the University of Central Florida. The appointment will be through Princeton's School of Public and International Affairs. The research position requires a PhD in a relevant field (e.g
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models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
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Hire Date 8/18/2025 Expected End Date Contact Information for Candidates Carol Barnes, PhD carol@nsma.arizona.edu Open Date 7/15/2025 Open Until Filled Yes Documents Needed to Apply Curriculum Vitae (CV
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-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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nuclear and particle-physics experiments Experience with data analysis and knowledge of statistical techniques for data analysis Experience with computing and software for high-energy or nuclear physics
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knowledge of statistical techniques for data analysis Experience in detector performance or trigger systems for high energy or nuclear physics experiments Experience with machine learning techniques and tools
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activities as assigned. Minimum Qualifications The minimum qualification for this position is a PhD. The selected candidate must have a conferred PhD upon hire. Preferred Qualifications FLSA Exempt Full Time