Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- University of Oslo
- Indiana University
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Florida Atlantic University
- King Abdullah University of Science and Technology
- Oden Institute for Computational Engineering and Sciences
- Simons Foundation/Flatiron Institute
- Singapore University of Technology & Design
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of California
- Zintellect
- 6 more »
- « less
-
Field
-
Details Title Onnela Lab Postdoctoral Research Fellow Position in Network Science / Causal Inference School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position
-
inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
-
in mathematical modelling and Bayesian inference while learning from three collaborating chief investigators. You will also build your publication record and professional networks through seminars
-
-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
-
The successful candidate will work with Asst. Prof. Shen Shuting on combinatorial inference under a project on "Post-learning inference for near-optimal discrete structures". The main
-
, or sustainability economics. • Strong knowledge and practical experience in Difference-in-Differences (DID) models and other causal inference methods. • Experience working with large socioeconomic
-
research tasks and projects, making use of selected methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systematic review methods), and
-
methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses
-
develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion
-
methodologies (longitudinal designs, moderation and mediation, causal inference), library research (Pubmed searches, systemic review methods), and statistical analysis (data visualization, descriptive analyses