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or knowledge of invertebrates within southern Australian agricultural systems Experience with molecular methods for species identification and/or population genetics. Knowledge of statistical analysis, data
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relevant discipline area, such as eDNA, molecular ecology or other trace DNA-based genetics (e.g. ancient DNA). Please note: To be eligible for this role you must have no more than 3 years (full-time
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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
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of the fundamentals of bio foundry automation Experience with plant research (genetic engineering, molecular biology, phenotype characterisation) We welcome applications from international applicants. *Please note that
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Environment and Genetics Tenure: Six-week, weekly hours to be negotiated with supervisor. Supervisors will endeavour to design flexible research schedules that fit with part-time work. this is designed