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internally at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms explore how artificial
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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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shotgun metagenomic sequencing and other -omics datasets from laboratory and clinical research studies. Key activities include establishing reproducible computational workflows, contributing to study design
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. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned
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values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a
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the research area where required. Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct . Cooperate with all health and safety policies and procedures
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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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, contribute to teaching activities aligned with your research, and provide guidance within your area of expertise. The role also includes maintaining research-related administrative responsibilities
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thinking when working across multiple stakeholder groups. Support the overall delivery of the project as part of a collaborative, multidisciplinary research team. SELECTION CRITERIA To be successful in
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with multiple educational and other stakeholders and media outlets, and act as the first point of contact for internal and external stakeholders. Prepare and submit grant, ethics and governance