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are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
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. Proficiency in bioinformatics skills, relevant to protein sequence analysis and the analysis of datasets generated by 'omics' techniques. Knowledge of assays that monitor the quality of translation processes in
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science, engineering, data science or related discipline. Demonstrate experience analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high
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expertise, in molecular sequencing workflows, genomic data analysis and bioinformatics tools, including programming and high-performance computing. A collaborative approach, sound judgement and a commitment
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sequence reconstruction. At UQ, you’ll collaborate with leading researchers in a supportive, high-impact environment that values curiosity, innovation and real-world outcomes. In addition to progressing