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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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automation Experience with plant research (genetic engineering, molecular biology, phenotype characterisation) We welcome applications from international applicants. *Please note that applications will be
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supervising higher degree research students Understanding of standard flow cytometry procedures Understanding of the fundamentals of biofoundry automation Experience with plant research (genetic engineering
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Early- and mid-career researchers Other initiatives Education Academy school education programs Science videos and articles Immunisation, climate change and genetic modification History of Australian
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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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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