Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Monash University
- ;
- BI Norwegian Business School
- DAAD
- Technical University of Munich
- Bucharest Universty of Economic Studies
- Harvard University
- Maastricht University (UM)
- Swedish University of Agricultural Sciences
- Tilburg University
- Duke University
- EBS Universität für Wirtschaft und Recht •
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- FAU Erlangen-Nürnberg •
- Forschungszentrum Jülich
- German Institute for Economic Research (DIW Berlin) •
- Goethe University Frankfurt •
- Hong Kong University of Science and Technology
- Humboldt-Universität zu Berlin •
- IRTA
- Instituto Superior de Economia e Gestão
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Maastricht University (UM); Maastricht
- Nature Careers
- Newcastle University
- Newcastle University;
- Sveriges lantbruksuniversitet
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- University of Bamberg •
- University of Bonn •
- University of East Anglia;
- University of Exeter
- University of Lund
- University of Melbourne
- University of Oxford
- University of Twente (UT)
- Universität Hamburg •
- Universität Wien
- Vrije Universiteit Amsterdam (VU)
- 32 more »
- « less
-
Field
-
knowledge of quantitative methods, particularly in statistics and econometrics; experience in machine learning is a plus Background in business/management/behavioral science Experience with programming
-
, initiative, and the capacity to work effectively in a team are essential. Prior experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset
-
(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
-
and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team
-
data analysis and operations research. You hold, or will shortly acquire, a Master’s degree in Civil Engineering, Industrial Engineering, Mechanical Engineering, Econometrics, Computer Science, or a
-
disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
-
, basic applied econometrics skills, and interest in furthering these. Interest in Green Technologies and Green Energy. Experience with other social science methods (e. g. qualitative techniques, fuzzy sets
-
: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
-
Economics PhD program should have a 4-year bachelor degree or master's degree in economics, econometrics or a related quantitative discipline, demonstrated research experience, and strong academic results
-
a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation