Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- The University of Queensland
- University of Adelaide
- Flinders University
- RMIT University
- University of New South Wales
- Australian Academy of Science Research Funding
- Australian Catholic University
- Australian National University
- CSIRO
- Central Queensland University
- Curtin University
- Deakin University
- La Trobe University
- Queensland University of Technology
- RMIT UNIVERSITY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of South Australia
- University of Tasmania
- 9 more »
- « less
-
Field
-
implementation science. We are now seeking an exceptional Research Fellow (Level B or C) to lead innovative methodological research in statistical theory for adaptive variants of longitudinal cluster randomised
-
demonstrated skills in field experimentation, statistical analysis, and collaborative research. Strong organisational, interpersonal, and time management skills are essential. Desirable attributes include
-
, psychology, neuroscience or a related discipline A strong research track record relative to opportunity, including publications and grant activity Advanced skills in statistical analysis and data
-
software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
-
behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
-
journals. Develop and apply mathematical and/or statistical methodologies for quantifying the value of information for improving decisions in biodiversity conservation, fisheries, and/or disease management
-
working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
-
to quickly acquire it. Familiarity with advanced statistical techniques (e.g. GAMLSS), or capacity to gain this knowledge rapidly. Proven ability to publish research, write technical reports, and communicate
-
, mathematical psychology (computational modelling) and/or human factors methods and related statistical techniques (including Bayesian hierarchical methods) Experience with the development and application
-
, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is subject to