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Field
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and integrate omics/bioinformatics insights into study design and interpretation. [Work content and job description] Plan, execute, and analyze wet-lab experiments relevant to RNA therapeutics and
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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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blotting or ELISA for protein detection is highly desirable. Additionally, the ideal participant will demonstrate an interest in using bioinformatic tools for data interpretation and a commitment to
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of these locations, perform laboratory analyses together with a research technician, and perform the bioinformatic and statistical analyses of the genomic data. In addition to the PhD fellow we will be hiring two
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., confocal and light sheet) and/or programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidates should be able to demonstrate excellent communication and presentation skills
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, mechanobiology, advanced imaging and functional screening, bioinformatics, AI and multimodal data integration. Track record of first or lead author papers in high quality peer reviewed journals Ability to think
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics
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(clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data