13 postdoctoral-computer-"https:"-"L2CM" Postdoctoral positions at Pennsylvania State University
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Pennsylvania State University, Department of Mathematics Position ID: PennState-POSTDOC2 [#27138, REQ72094] Position Title: Position Type: Postdoctoral Position Location: University Park
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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with research interests in courts or sentencing and with a knowledge of, or practical experience with, program evaluation. Key responsibilities of the Postdoctoral Scholar will include collaborating with
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SPECIFICS The Cognition, Affect, and Temperament Laboratory at The Pennsylvania State University, headed by Dr. Koraly Pérez-Edgar, seeks a Postdoctoral Scholar (http://www.catlabpsu.com ). Ideal start date
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plant pathogens in organic production systems through a multi-institutional USDA/OREI funded project. The Postdoctoral Scholar will conduct or coordinate research computational analysis and pattern
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EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics
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SPECIFICS The Criminal Justice Research Center (CJRC) at The Pennsylvania State University, in cooperation with the Pennsylvania Department of Corrections (PADOC), invites applications for a Postdoctoral
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SPECIFICS Postdoctoral Scholar Opportunity Grain Crop Production Laboratory - Department of Plant Science - Penn State University https://plantscience.psu.edu/research/labs/grain-production-lab Position
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SPECIFICS The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning August 2026. The successful candidate will work with Professor John Harlim and
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. Qualifications: Extensive training in state-of-the-art economics and econometric analysis, including spatial statistics and other advanced quantitative methods. Familiarity with modern computational and data