Sort by
Refine Your Search
-
from other quantitative disciplines – such as data science, mathematical statistics, actuarial science, public health, or psychology – who have strong quantitative skills and an interest in causal
-
relevant discipline. Relevant disciplines include health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical
-
combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
-
econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check
-
health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
-
the following information in your enquiry: A cover letter (that includes a brief statement highlighting your research interest in health economics and outcome research (max one page). Your CV, with a full
-
/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
-
, computer science, software/systems engineering, and data science. Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model-based systems engineering, safety-critical
-
Centre for Health Economics, Monash Business School, PhD Program 2026 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
-
information, please follow the link for each Graduate Research Degree ● 3291 - Doctor of Philosophy Candidate Requirements Applications are invited from candidates with backgrounds in Materials Science