-
-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
-
, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
-
biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
-
of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
-
the application of analytic techniques to longitudinal or large mental health data sets or biobanks a strong applied research orientation with a proven ability to build successful working relationships with a
-
of contribution to externally funded research projects evidence of external leadership in public health (e.g. chairing committees, journal editor) experience contributing to large collaborative
-
R, and comfortable working with large epidemiological data sets. independent student supervision & teaching, the candidate must have experience independently leading research projects with experience
-
, including data analysis (e.g., interrupted time series, linked healthcare data, PBS datasets), survey design and implementation, and mixed‑methods approaches · experience conducting systematic reviews
-
physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis