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services, or outcomes research; experience with opioid-related and pain research preferred. Proficiency in quantitative analysis of claims, EHR, or administrative datasets using SAS, Stata, or R Evidence of
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survey and/or interview methods (e.g., field interviews, focus groups, online survey design). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis
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for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine
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, developed in association or cooperation with one or more R&D units; this requirement must be duly verified at the time of hiring. Note: In the case of masters who are enrolled in non-academic degree courses
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statistical modelling (including both theoretical and computational aspects) and use of statistical software (e.g. R - including programming). Excellent communication and organisational skills. The ability
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track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open
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the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation
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Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2025/research-fellow-… Requirements Research FieldAnthropologyYears of Research Experience4 - 10 Research
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of high-efficiency, compact, and reliable solutions. Candidates with relevant R&D work experience will be considered. The project supervisor will provide on-the-job training on simulation tools. Key
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environments for statistical analysis (e.g., MATLAB, R, or Stata); · Creating and managing very large datasets; · Machine learning skills. Basic Qualifications A Ph.D. in any business discipline