Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
% superannuation applies. Do you excel leading large and complex projects? Do you have a talent for devising innovative solutions to complex issues? If so, this could be the role for you! We have a fixed term
-
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
-
data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
-
phenotyping. Key Responsibilities Develop and maintain server-side solutions for storing, organising, and accessing large datasets Design tools that structure and package data using FAIR principles, RO-Crate
-
of better prevention and public health policies in rural and remote areas. This position will contribute to the design of qualitative research components, coordinate qualitative data collection from rural
-
, epidemiologists, qualitative researchers, pharmacists, Aboriginal health practitioners, consumer representatives). As part of a large NHMRC study, the successful candidate will work with the project coordinators
-
Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
-
hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been
-
chronic disease prevention/management, pharmacoepidemiology and big data research. The successful candidate will also promote internal and external relationships with relevant research groups and