29 statistics positions at Curtin University

Senior Lecturer

computational expertise in mathematics, statistics and computing with applications in materials science, quantum physics, signal processing, astronomy and health. EECMS contains several major research centres and

Research Fellow - Women's Health

high-level competence in using statistical analysis software. Demonstrated experience or desire to participate in supervision of HDR students. A history of successful competitive grant applications

Data Engineer

data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL

Research Assistant - Suicide Prevention

. In this role, you will also assist with preparing annual reports and manuscripts for publication. The successful candidate will have graduate training in epidemiology, psychology, and/or statistics and

Research Fellow

Job Reference: 1163141 About The Role: An exciting opportunity is available for a Level A and/or Level B academic with strong econometrics, data science, analytical, and statistical modelling skills

Trials Project Lead

. Conduct statistical analyses of trials' results and provide guidance on appropriate statistical methods and tools to assess the impact of equity-focused interventions. Identify and mitigate potential risks

Data Analyst (First Year Experience)

Academic Lead (NCSEHE) you will need to extensively analyse the intervention outcomes, conduct statistical analysis and report on project trends and data to measure the overall success of the project

Research Fellow/Senior Research Fellow - Dementia Prevention

research to build knowledge in the fields of ageing and dementia risk prediction using advanced statistical and machine learning techniques. This position provides you with the opportunity to engage with

Software Engineer

in R statistical software and Python with Numpy, Scikit-learn, and Pandas. Some experience with machine learning pipelines will be helpful. Experience in software deployment with cloud services, e.g

Data Engineer

regarded. Experience with data warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and