Sort by
Refine Your Search
-
History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
-
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
-
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 warehousing, integration, and management of large datasets. Strong foundation in computer science, mathematics, and statistics. Knowledge of data engineering tools and techniques, including ETL
-
. 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 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
-
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
-
Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, genetics, statistics, computing, or related discipline. Application
-
Eligible courses Any applicable PhD courses Eligibility criteria A strong track record in undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related
-
undergraduate studies; Honours or Masters by research A background in ecology, evolution, statistics, or related discipline. Application process Please contact us via the EOI form . Upload a copy of your academic