97 Statistics "Wellcome Sanger Institute " positions at Princeton University in United-Kingdom
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contact references for letters at a later stage). PREFERRED - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R) - Experience designing research studies and
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towards robustness and exploration. Experience with probability/statistics, calculus, machine learning, reinforcement learning. Be advised that you will be contacted only if there is further interest in
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The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through
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letters) for at least 2 references (we will contact references for letters at a later stage). Preferred: - Experience working with REDCap - Basic statistics training (e.g., ANOVA, t-tests, use of SPSS and R
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statistical skills. Ability to exercise independent research and judgment. Knowledge of or ability to quickly learn OnBase Document Imaging system for document retrieval. In depth knowledge and use of Excel
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an equivalent) as well as a good foundation in statistics. Knowledge of the Qualtrics survey platform is beneficial but not necessary. The Term of appointment is based on rank. Positions at the postdoctoral
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includes working with large, complex datasets using statistical programming languages, including Stata and/or R. Ability to multi-task and prioritize effectively to meet internal and external deadlines
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to distribute student information in a timely and accurate manner; manages the Study Abroad Fair, Passport Day, and other SAP program events; assists with providing reports, statistics, and analyzing study abroad
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. Gabriel Vecchi's research group (https://vecchi.princeton.edu) The research will involve modeling and understanding multi-decadal to centennial changes in the statistics of tropical cyclones over the past
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establishing and managing collaborative, multisite research projects; conducting advanced statistical analysis on complex data sets; disseminating research through presentations and journal publications; and