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[map ] Subject Area: Statistics Appl Deadline: 2026/09/20 11:59PM Position Description: Apply Position Description The Statistics Division at The Chinese University of Hong Kong, Shenzhen is seeking
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apply for Open-Rank, Tenured/Tenure-Track Statistics Faculty at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and
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applications for the above-mentioned position at the Seminar for Statistics (www.math.ethz.ch/sfs). Candidates should demonstrate outstanding research and teaching records and a proven ability to direct research
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description https://bandi.unibo.it/s/apos4/d-r-n-1994-del-5-dicembre-2025
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 9 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Dec-25 Location: Charlotte, North Carolina Categories: Academic/Faculty Mathematics/Statistics Internal Number
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Professor in Statistics for Omics_PD.pdf Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405618/lecturer-sr-lecture… Requirements Additional Information Work Location(s) Number
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Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD
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Title: Position Type: Tenured/Tenure-track faculty Position Location: Guangzhou, Guangdong 511436, China [map ] Subject Areas: Mathematics; Statistics; Artificial Intelligence Appl Deadline: 2026/11/30 11
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, preferably PhD degree in Statistics or a related field such as Mathematics or Business. Prior teaching experience is preferred. Interested individuals are to apply online at: https://jobs.rutgers.edu/postings
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within