53 Statistics "Wellcome Sanger Institute " positions at University of Maryland in United-Kingdom in United States
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statistical software packages, such as STATA, SPSS, or SAS, is preferred. Experience conducting criminal justice research and policy analysis is preferred, with knowledge of at least one of the following areas
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costs, and other various event statistics for each event. The successful candidate will have an understanding of the policies and procedures related to advising on campus. Minimum Qualifications
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to students. Utilizes databases to compile statistical profiles of students. Provides guidance to students with planning and researching co-curricular opportunities such as study abroad. Monitors and ensures
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working relationships. Ability to perform mathematical computations. Ability to present statistical material in chart and graph form. Ability to plan and support in-person and online events. Additional
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Qualifications: Education: Bachelor’s degree (or higher) in computational linguistics, data science, computer science, statistics, or related fields. Experience: Three or more (3+) years of experience building
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innovations that benefit millions. Benefits Summary Top Benefits and Perks: Faculty Benefits Summary Minimum Qualifications: Education: Ph.D. awarded in Engineering, Computer Science, Statistics, Applied
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pipelines to ingest large datasets from APIs and cloud storage to local storage instances. Write data retrieval, statistical calculation, and geospatial analysis queries and stored procedures. Assist with
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and effective anticipatory action in advance of food security crises. CISSM is conducting an applied research project that aims to advance statistical modeling of acute malnutrition and the use
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languages such as Ruby, functional languages such as Haskell or OCaml, and Web programming languages such as Javascript. A solid basis in theoretical computer science as well as probability and statistics
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, learning, automated ontology/taxonomy creation, or 3D synthetic data generation and refinement. Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning