Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- IMD Business School
- National University of Singapore
- Nanyang Technological University
- ;
- University of Oslo
- Universidade Católica Portuguesa - Porto
- Universidade de Coimbra
- University of Leeds
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Lund University
- Monash University
- Nova School of Business and Economics
- Trinity College Dublin
- University of Cambridge;
- University of Leeds;
- University of Michigan
- University of New South Wales
- University of Oxford
- University of Warwick;
- Zintellect
- 10 more »
- « less
-
Field
-
analysis including econometrics, statistics and machine learning and related disciplines handling large amounts of complex data. They should provide evidence of potential for research and publication
-
(econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus. Output orientation: Demonstrated capacity to publish in top-tier academic journals and ideally also in
-
: Strong qualitative (interviews, process tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus
-
tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus. Output orientation: Demonstrated capacity
-
, GRI etc.) and frameworks is a plus. Methods: Strong qualitative (interviews, process tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text
-
, or further sustainability topics that are relevant for business. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival
-
. Knowledge of sustainability reporting frameworks (TCFD, TNFD, etc.) is a plus. Methods: Strong quantitative skills (econometrics, panel/archival data, field or lab experiments, text analytics, use of AI
-
frameworks (CSRD, ISSB, GRI, TCFD, TNFD, etc.) is a plus. Methods: Strong qualitative (interviews, process tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field
-
tracing, case study design) and/or quantitative skills (econometrics, panel/archival data, field experiments, text analytics). Mixed‑methods experience is a plus. Output orientation: Demonstrated capacity
-
: Experience and knowledge of advanced statistics and econometrics is desired Excellent written and verbal communication skills is desired Experience in using large and complex data is desired Experience in