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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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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
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statistical packages, especially R and SPSS Good statistical knowledge and skills Good IT skills (i.e., Microsoft Office®) Strong ability to work within a multidisciplinary team Strong interpersonal, written
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call for application is open for 1 (one) Research Grant within the scope of the R&D institution University Research Center in Psychology – CUIP, Autonomous University of Lisbon (UAL), project reference
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, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly clinics, trial support, and active contribution to academic
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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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Pharmaceutical Sciences or Biotechnology areas or enrollment/attendance of a non-degree course taught by a higher education institution in conjunction with an R&D unit; - Proven competences in the production and
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this position and how you learned about it The start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior
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Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta
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taught by a higher education institution in conjunction with an R&D unit in Sustainable Chemistry or related areas. Experience in characterization of innovative and emerging ingredients. In case the Master