Sort by
Refine Your Search
-
excellent organisation skills, and ideally experience with large datasets, data development, statistical analysis and working in health-related area all highly desirable. Must be eligible to enrol in PhD
-
researchers with expertise across the planetary sciences, including planetary geology, fireball physics, impact crater analysis and statistics, and Solar System formation. The candidate will be exposed to a
-
. Experience in mathematics, statistics, and simulations is also useful. Application process This project has identified a preferred candidate and is no longer available. Please review remaining scholarships
-
including end-users and technical experts. The applicant must have quantitative skills as this project involve statistical techniques including structural equation modelling using packages including SPSS
-
quantitative skills, including familiarity with epidemiology, statistics, exercise science, nutrition and/or neuroscience are desired for this project. The candidate will join an interdisciplinary team focused
-
strong background in quantitative analysis, including proficiency in statistical analysis and data modelling. Familiarity with machine learning algorithms and programming languages such as Python or R
-
requirements using a variety of techniques such as time-based, multi-dimensional statistical and graph theoretic techniques. Specific aims of the projects are 1) defining and specifying a unified economic model