-
and data workflows using relevant tools (e.g., R, Python, ASReml, mixed models) to interpret complex experimental results and inform selection decisions. Proven ability to design and lead independent
-
multi-agent decision making in contested and dynamic environments, involving extensively applied work built on a strong mathematical foundation at the intersection of data science, data fusion, decision
-
to developing research protocols, preparing manuscripts, and analysing data using statistical methods, turning results into meaningful insights. You’ll also have the chance to present findings through reports and
-
social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process
-
that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout