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dataset analysis to develop novel approaches to understanding impacts on fish life history of urbanised seascapes and consider impact and restoration trajectories. The project will involve significant
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
, including parameter calibration and validation, sensitivity analysis and others present project updates, overviews, and formal presentations of research activities and outputs prepare peer-review papers as a
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics
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, immunology, or stem cell research prior experience in cancer and/or immunology research is highly desirable proficiency in techniques such as cell-based assays, animal models of disease and data analysis
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, animal models of disease and data analysis strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high
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contributing to work that matters. What You’ll Be Doing Collecting data in flood-affected communities through surveys, interviews, and focus groups Conducting both qualitative and quantitative analysis to assess
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that reveal the biology behind challenging childhood diseases. Rare diseases affect 400 million people worldwide; most still lack answers. Autonomous AI can compress months of genomic and literature analysis
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clinicians who provide research support to the project manage the GMCI budget, working closely with the Growing Minds Australia Executive Officer contribute to data management, data analysis and written
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in
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-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models