-
proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
-
clusters, such as ‘Global Futures, Colonial Pasts’, ‘Sustainable Transitions in Culture & Societies’ or ‘Popular Culture and Inequalities’. Job description The successful candidate will be based
-
methods to administrative data. The exact topic will be chosen in coordination between the successful candidate and supervisors. The successful candidate will be part of the Strategy Economics group within
-
work will support policy makers to make better-informed decisions. Using large administrative datasets, you will develop models and provide estimates for two policy cases: (i) free-of-charge
-
. Because the work is in the defense and security domain, a Certificate of No Objection (VGB) from the AIVD is required. For this reason, the candidate will undergo a security investigation. More information
-
where is the limit of government power in a data-driven society? You will have plenty of space to choose your own research angle and work in a multidisciplinary team with a focus on social impact. At
-
Management Directorate (ABD) University Library (UB) Convergence Human Resources (HR) Finance (FIN) Education and Student Affairs (E&S) Erasmus Digitalisation and Information Services (EDIS) Real Estate
-
analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles on the intersection of street-level decision-making
-
Aarhus neighbourhoods, collecting and analysing qualitative data by content analysis, narrative interviews, shadowing, focus groups and vignettes among relevant stakeholders; Publish articles
-
of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become