Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Erasmus University Rotterdam
- ETH Zürich
- Harvard University
- Duke University
- Edinburgh Napier University;
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Monash University
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- Tilburg University
- University of Liverpool
- University of Liverpool;
- Universität Wien
- Wageningen University & Research
- Wageningen University and Research Center
- 8 more »
- « less
-
Field
-
8 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Economics » Econometrics Economics » Macroeconomics History » Economic history Researcher Profile First Stage Researcher (R1
-
statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
-
. This research is carried out using a variety of research methods primarily emphasizing large-scale archival data and quantitative analyses. Entrepreneurial Decision-Making and Ecosystems: This strand focuses
-
technology (FinTech) Payment technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance
-
. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
-
technologies and the future of money Explainable artificial intelligence (AI) in financial services Integration of FinTech and big data in financial markets and sustainable finance. To discuss the entry
-
Master´s or MPhil degree) in one of the following fields: computer science, data science, operations research, economics, econometrics, statistics, management, or marketing. The ideal candidate should also
-
Old Town and the elegant Georgian New Town, the beauty of Arthur’s seat and the fascinating Calton Hill; the vibrancy of the life, and the large and international student population; cultural events
-
data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your
-
approval, ordering register data, and conducting econometric analysis of large register-based datasets. Further tasks include conducting health economic evaluations, project planning, scientific writing, and