-
disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also develop and strengthen internal and external relationships with relevant research groups and
-
to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
-
metapopulation and/or individual based models Knowledge of Bayesian methods, including Approximate Bayesian Computation Experience with big data analysis and HPC environments Knowledge of additional programming
-
of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms