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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department SAS - Statistics Salary Details minimum of $63968 Offer Information The final salary offer may be
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appropriate tools (R, Matlab, FSL, SPM) and advanced statistical techniques (e.g. linear mixed-effects models). The PDRA will have responsibility for writing up the study results for publication in high-quality
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& Post-doctoral Fellow Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post
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. You will be responsible for conducting literature reviews, managing and processing data, and performing statistical analyses. Additionally, you will interpret results and prepare manuscripts
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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are subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. Applications must be submitted online at https://www.princeton.edu
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, Division of Infectious Diseases Posting Number req24751 Department Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location University of Arizona Health Sciences Address 1501 N
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Postdoctoral Research Associate, Division of Infectious Diseases Posting Number req24751 Department Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location University of Arizona
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, Massachusetts 02139, United States of America [map ] Subject Area: Statistics / Statistics Appl Deadline: 2025/12/15 11:59PM (posted 2025/10/23, listed until 2026/04/23) Position Description: Apply Position
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 23 hours ago
hyperscanning neuroimaging data, using advanced statistics and machine learning methodologies for temporally-sensitive data, such as GLMM, Random Forests, LSTM, etc.. Use of MatLab for pre-processing, and