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Science, or related field Research experience, ideally with human participants Experience in R or other statistical software Familiarity with eye-tracking and LENA systems Research Assistant II: Bachelor’s
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deadlines Computer skills: Word, Excel, power point, data software etc. Expectations for all UBC employees: - Willingness to respect diverse perspectives, including perspectives in conflict with one’s own
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computers running Microsoft operating systems and software applications. Must be well organized, detail-oriented and able to adhere to detailed SOPs and keep concise records when required, such as maintenance
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direction, independently and within a team environment to meet deadlines Computer skills: Word, Excel, power point, data software etc. Expectations for all UBC employees: - Willingness to respect diverse
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into open-source software tools and data portals of the institute • Collaborate with internal and external, as well as national and international, project partners Present your results at national and
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revenue, and advancement/gift income · Familiar with CU procurement and accounting software such as Concur and Marketplace systems · Familiar with Smartsheet software or intermediate-level Excel
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direction, independently and within a team environment to meet deadlines Computer skills: Word, Excel, power point, data software etc. Expectations for all UBC employees: - Willingness to respect diverse
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-methods methodologies and common software (Nvivo, STATA/SPSS, Covidence). Due to the sensitive nature of the research, the successful candidate will be subject to a Disclosure and Barring Service (DBS
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you through relevant psychological literature. Students will gain experience with research methodology, employing mathematical and software engineering/programming to real-world problems, computational
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | about 1 month ago
of economics, or a closely related discipline. A Master’s degree (with distinction/merit) is desirable. Previous experience with analysing large dataset using statistical and econometric software (e.g., Python