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related field. Strong analytical and manuscript preparation skills, experience analysing complex clinical or biological datasets and the ability to develop well-documented code in R, Python or another
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graphs or multi-agent reinforcement learning. Strong programming skills in Python and AI frameworks such as PyTorch, JAX or TensorFlow, combined with excellent analytical, problem-solving, communication
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability
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, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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, commensurate with career stage. Strong mathematical and algorithmic capability, with demonstrated experience applying machine learning to research problems Strong programming skills in Python and/or MATLAB
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. Python programming, or a willingness to learn. Higher degree student supervision. Strong initiative, resourcefulness and the ability to work effectively to deadlines. About UQ As part of the UQ community
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expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment. Experience working with melanoma
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scientific programming using Python or similar languages, or the demonstrated ability to rapidly develop coding capability a strong publication record relative to career stage in relevant research fields
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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oral communication skills in English Applicants who demonstrate the following desirable criteria will be highly regarded: experience in analysing large-scale omics datasets in R or python strong general