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, candidates with research interests in areas such as Bayesian methods, survival analysis, experimental design, functional data analysis, clinical trials, precision medicine, and meta-analysis are especially
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confidential basis until the completion of the search process. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website: https://www.imsearch.com/open
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California State University, Northridge | Northridge, California | United States | about 2 months ago
Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: For more information about the Department of Psychology, see: https://www.csun.edu
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. We are interested in candidates with research interests in causal inference or Bayesian methodology, and we also welcome strong applicants from the broader fields of statistics and machine learning
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at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The faculty of the Department of Statistics at the University of South Carolina, Columbia
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub
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high-dimensional neural data. Approaches used include neural network-based approaches, Bayesian inference, and more Assisting with the oversight of day-to-day functions of the lab and shared lab spaces
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Posting Details Position Information Position Title Assistant Professor - 12 Month, Biostatistics Department Department of Biostatistics Posting Number F250011 Posting Link https
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Bastian, C. C. (2018). Working memory updating and binding training: Bayesian evidence supporting the absence of transfer. Journal of Experimental Psychology: General, 147(6), 829-858. https://doi.org
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at https://utah.peopleadmin.com/postings/168170 . Required materials: Letter of interest (cover letter) CV Research statement Teaching statement Exemplar publication or pre-pub that highlights expertise in