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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease
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Alliance for Agriculture and Food Innovation, you will develop and apply advanced quantitative genetics methods to improve genomic prediction of complex traits in soybean. As part of the UQ-led ARC Training
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, multi-site provincial initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data
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and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will
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disordered proteins, nucleic acids and their complexes by integrative structural biology. The laboratory uses and develops state-of-the-art Nuclear Magnetic Resonance Spectroscopy (NMR) methods as a major
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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innovative models to improve farm performance and decision-making Drive impactful research that shapes the future of Australian agriculture About CSIRO As Australia's national science agency, CSIRO is solving
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, such as gas, water, and electrical grids. This specifically concerns Cyber-Physical Systems and the complex integration of IT-OT environments, supporting CyberUnite’s mission to develop resilient and
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diseased individuals Model how mutant and non-mutant tissues respond to non-pathogenic and pathogenic challenges. Work closely with experimental and clinical collaborators in a highly interdisciplinary
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, and new approaches to treating infectious diseases using complementary in vitro and in vivo infection models. The Gamble Laboratory has expertise in synthetic, bioorganic, and medicinal chemistry, with