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(PhD entry Level - $108,156 p.a.) Join a collaborative and cutting-edge research environment working with world-class researchers. Apply statistics, bioinformatics, and machine learning methods
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and
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modelling of neural systems Bioinformatics Imaging genetics Neuroimaging techniques (MRI, MEG, EEG) Comparative or cross-species neuroscience Excellent problem-solving, organisational, and communication
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and standing recognised by the University/profession as appropriate for the relevant discipline area (e.g., AI/Machine Learning, Bioinformatics). A proven track record of research and scholarly
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. Using bioinformatics, data science, or behavioural science – including artificial intelligence, you will drive innovative solutions to data challenges, support impactful research and help translate
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members Commitment to the principles of equity, diversity and inclusion. Desirable characteristics: Understanding of bioinformatics. Experience with HPAEC-PAD and HPLC systems. The path to Adelaide
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, and business, and is at the forefront of computing research in Australia and internationally with close links to major computing research initiatives, including Melbourne Bioinformatics, CSL