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proficiency and ability to navigate multiple software applications Detail-oriented with exceptional organizational, planning and problem-solving skills Ability to work independently, as a part of a team and
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programming ability in R or equivalent analytical software and be able to apply statistical methods to large datasets with accuracy and initiative. You will demonstrate enthusiasm for research, excellent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
contributor to the LEGEND collaboration, with major roles in detector development and characterization, electronics readout and data acquisition, and software and analysis development activities. The UNC group
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 3 months 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
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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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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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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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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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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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confidentiality and cross-cultural sensitivity. Demonstrated ability to work effectively autonomously, and as part of a team. Desirable: Experience using digital agriculture software including John Deere Operations