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knowledge and experience in relevant empirical research methods, including Information Retrieval, Large Language Models, question answering, answer generation and ranking, abstractive summarisation
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desirable: Processing and analyses DXA scan Quantitative genetics models and theories The analysis of large-scale SNP array and whole genome sequencing data Analysis of large-scale genetic data In addition
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exciting opportunity for a Research Fellow/Senior Research Fellow (Level B or C) to work within the Children's Intensive Care Research Program (ChIRP) on leveraging large volumes of granular paediatric
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genetics or breeding, particularly in cereals, including field-based genetic research Demonstrated capacity to manage and analyse large data sets. Track record of publication of research findings in peer
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. Experience with medical data and a background in computer science or applied statistics will be highly regarded. Based at our vibrant and picturesque St Lucia Campus About UQ As part of the UQ community, you
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. Further information can be found by viewing UQ’s Criteria for Academic Performance . This is a full-time (100%), fixed-term position for up to 3 years at Academic level A or B. The full-time equivalent base
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leading plant breeding programs and developing successful partnerships with industry. Demonstrated ability in quantitative and statistical analysis of large genomic data sets An extensive record
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and run statistical analyses implementing existing methods (e.g., GWAS, Mendelian Randomization) Participate in the development of novel approaches to analyse large scale genomic data (e.g., by deriving
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post-fellowship contracts via our UQ Amplify initiative, UQ empowers research excellence. With a large PhD enrolment and commitment to accessibility , be part of a prestigious institution that empowers
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(Macquarie University), as well as a LEARN capability that seeks to learn from large ‘omics data sets and direct strain optimisation, pathway optimisation and metabolic engineering to advance synthetic biology