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. This role provides an exciting opportunity to apply advanced machine learning and statistical modelling techniques to large-scale, high-dimensional eDNA datasets collected from Australian coastal and deep-sea
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Agroecology Team, you’ll work with a multidisciplinary group of entomologists, geneticists, ecologists and industry partners—supported by world-class laboratories, high-performance computing and specialist
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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forefront of climate technology and help scale up solutions for global emissions reduction. Your high-level duties will include: Assessment of currently available process concepts for liquid absorbent