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, United States of America [map ] Subject Areas: Mathematics, Probability and Statistics, Financial Mathematics, Actuarial Mathematics, Stochastic Analysis, Data Science, and Statistical Learning Appl Deadline: 2026/05/31 11
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, Hong Kong 00000, China [map ] Subject Areas: All mathematics areas, including applied mathematics, data science, pure mathematics, statistics and financial mathematics Appl Deadline: 2026/03/31 11:59PM
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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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of Knowledge: Statistics, Data Science, and Law Field of Activity: Econometrics, Data Science, Natural Language Processing, and Empirical Legal Studies Summary Opportunity for a Postdoctoral Fellowship linked to
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. Knowledge and experience with advanced statistical techniques, database management, solid programming skills, and computational modelling are desirable. The appointees will participate in laboratory
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Statement to UCLA Academic Recruit at: https://recruit.apo.ucla.edu/JPF10731 The salary range for this position is $25,000-$45,000. All inquiries may be sent to: Chie Ryu UCLA Department of Statistics & Data
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Colorado School of Mines, Applied Mathematics and Statistics Position ID: CSM-PD [#27350] Position Title: Position Type: Postdoctoral Position Location: Golden, Colorado 80401
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 9 hours ago
outcomes of the CERC NEST (https://cercnest.ca/about-us/ ). The successful candidate will have a demonstrated capacity to contribute to an undergraduate curriculum in statistics, which may be demonstrated
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Position Overview School / Campus / College: College of Arts and Sciences Organization: Statistics Title: Lecturer Part-Time in Statistics Position Details Position Description Applications
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Responsibilities 1. Designs, analyzes, implements, and reports findings on targeted statistical research studies; provides consultation to investigators and researchers on experimental design and statistical