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Are doctoral positions paid? All doctoral positions are fully funded, including social benefits. Students also receive funding to attend conferences and other events related to their research, and have access to outstanding facilities. Do I need to know English? Yes, English is the institute’s...
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organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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ability to work independently and in a team environment Demonstrated ability to meet deadlines Discretion, tact and confidentiality Technical proficiency using various word processing software, spreadsheet
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Assistantship program. If hired, you will play a key role in the CCS’s partnership with the University of Oxford on the Quill Project, a cutting-edge software platform that generates interactive digital models
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) using SAS/R software such as R • Maintaining documentation of datasets and analyses • Writing up results for academic publications / presentations • Preparing tables and figures • Other duties as assigned
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team members. Contribute to maintaining and improving research software, including updating open-source repositories where applicable. Carry out other duties, commensurate with the grade and remit
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required. Intermediate proficiency level required in MS Office software, including Word, Excel, PowerPoint, Outlook, Adobe products, with a typing speed of 60 words per minute. Familiarity with Web
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knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software, processes and new technologies is a plus
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conducting literature reviews, and a solid understanding of scientific research methods Technical Competence: Demonstrates familiarity with quantitative and qualitative data analysis software and digital tools