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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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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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of bioengineering, computational biophysics, and data-driven modeling, with strong links to open-source software development and industrially relevant applications. Tasks include: Development of molecular descriptors
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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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No. 1 scholarship grant for technological training activities at INFN Structure of Napoli for the following research topic (on the following activity): “Development of electronic boards and software
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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