62 high-performance-computing research jobs at The University of Queensland in Australia
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providers and communities, informed by data from other ARC-IFC themes, and guided by relational Indigenous methodologies. Key responsibilities will include: Research: Establish a research program, collaborate
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and emerging research profile in biotechnology and biopolymers. You will work with Professor Steven Pratt and other CI’s on delivering against the research objectives of Research Program 1.3
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to service and engagement activities within The University of Queensland. Key responsibilities will include: Research: Conduct high-quality, applied geometallurgical research using best practice methodologies
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dynamic research environment. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals
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responsibilities will include: Research: Maintain a strong record of high-impact research as lead contributor in top-tier international journals and disciplinary publications. Initiate and lead competitive research
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opportunity to make a significant impact on both fundamental science and emerging applications Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek
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. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead
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testing and troubleshoot scientific equipment as needed. Ensure safe handling, storage, and disposal of chemicals and samples, and contribute to the safe operation of research infrastructure. Support data
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strong industry collaboration and international engagement and is expected to commence in October 2025. Key responsibilities will include: Research: Conduct high-quality research and publish in reputable
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work