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faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge
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microscopy, antibody-based techniques, small molecules/ligand-trap based therapies Preferred qualifications Experience with bioinformatic analysis using R and/or Python. Experience with molecular/cellular
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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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must have a doctoral degree in a relevant field which may include but is not limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology
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isolation and genotyping via bioinformatics pipelines. There will also be the potential to develop additional projects building on the strengths, interests, and expertise of the successful candidate
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) Mammalian cell culture (experience with induced pluripotent stem cells and/or adult stem cells preferred) Machine learning and basic bioinformatics A proven solid research experience in the context of multi
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, work with bacterial pathogens, and bioinformatics. Role Summary Work within specified research grants and projects and contribute to writing bids Operate within area of specialism Analyse and interpret
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involved in the bioinformatic and analytic aspects of predictive modeling. MINIMUM JOB QUALIFICATIONS: A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer science
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limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology, or epidemiology. Applicants who will receive the doctoral diploma by May 31, 2026
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facility in Mickleham, Victoria. You will work closely with DAFF plant pathologists and CSIRO experts in microRNA research and bioinformatics, as part of CSIRO’s structured early‑career development program