Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- Germany
- United Kingdom
- Romania
- Sweden
- Austria
- Singapore
- United Arab Emirates
- China
- Belgium
- Hong Kong
- Norway
- Poland
- Portugal
- Australia
- France
- Denmark
- Japan
- Canada
- Ireland
- Luxembourg
- Switzerland
- Tajikistan
- Brazil
- Czech
- Estonia
- Finland
- Italy
- Lithuania
- Spain
- Vietnam
- Zambia
- 23 more »
- « less
-
Program
-
Field
-
econometric techniques. This work involves cleaning and organizing large data sets, conducting regression analyses, and creating tables and reports describing the results. Essential Functions Participate in
-
computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive
-
the following fields: computer science, computer science and telecommunications, computer science and econometrics, or a related field (in the field of engineering and technical sciences). The candidate should
-
the following fields: computer science, computer science and telecommunications, computer science and econometrics, or a related field (in the field of engineering and technical sciences). 2. The candidate should
-
. Resource Econ Contact(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant
-
, and Statistics Excellent research and writing skills Knowledge of statistics/econometrics Knowledge of statistical programming, particularly STATA Preferred Knowledge of Unix or Linux Knowledge
-
has about 35 full-time faculty members with a broad variety of research interests. The Department is involved in teaching Statistics, Econometrics and Operations Research related courses in most
-
Environmental Decisions’, and ‘Transition to Just and Clean Energy. For more information on IDCs see: https://chs.nus.edu.sg/programmes/common-curriculum/interdisciplinary-courses-i-ii/ Key Responsibilities
-
of the F2ForALL project, aiming to fulfill two main objectives: The first objective involves the computational implementation of multiple linear regression models in spatial econometrics and/or survival analysis
-
a strong understanding of the circular economy landscape in Ireland. Proficiency in both quantitative and qualitative research is essential. A solid background in data and econometric analysis is