-
apply quantitative and data-driven models to study protein interactions and their context-dependent behaviour, linking computational predictions with condition-specific biological responses. You will have
-
across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and
-
junctions and triple junctions tandeming perovskites with perovskites, CIGS, OPV and Si for large area cells or modules. Their true sustainability, cost effectiveness and how they are integrated
-
large-scale cross-cultural and longitudinal studies in collaboration with international research teams manage multi-site data collection, including ethical approvals and cross-country protocols conduct
-
: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
-
Health to work on a large multi-organisation project called Development of a Soil Health Framework for Australian agricultural production systems which is funded by the Grains Research & Development
-
point of contact Experience working with Global Burden of Disease (GBD) Study data with successful publications utilising this data Experience designing and creating self-help tools for people who suffer