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integrates large-scale human genetics with molecular and clinical data to generate testable hypotheses that accelerate biological discovery and therapeutic innovation. We are recruiting an ambitious Postdoc in
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and
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methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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for analysis of large-scale whole genome genetic and genomic and phenotype data. Examples include large Whole Genome Sequencing association studies, biobanks, single-cell and CRISPR multiome data, integrative
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(LEC) is a large and multidisciplinary department, tackling grand environmental challenges. LEC offers a highly collegial and stimulating environment for career development based on departmental values
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills
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analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of