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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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bioinformatics and computational biology, including the handling of large-scale genomic datasets. Expertise in the evaluation of novel predictive genomics methods, and experience with whole genome assembly
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collection, DNA preparation, long-read sequencing and development of bioinformatic analysis pipelines. Undertaking innovative research to identify resistance alleles and contribute to theoretical advancement
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: The Centre for Crop and Disease Management (CCDM) at Curtin University brings together expertise in plant pathology, farming systems, biometry, bioinformatics and data science, together with agribusiness
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, farming systems, biometry, bioinformatics and data science, together with agribusiness, actuarial science and geographical information systems. We have strong industry and academic partnerships and focus
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profiling, analyse population-scale epigenomic and multi-omic datasets, and develop new bioinformatic pipelines that push scientific boundaries. You’ll uncover patterns of methylation variation, inheritance
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
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experience in mammalian cell culture, organoid culture and analysis, and stem cell biology. Strong skills in molecular biology, next-generation sequencing, bioinformatics, general microscopy and confocal
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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