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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches
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to evaluate key disease processes, including cell migration, tissue remodelling, and molecular marker analysis. collaborate with interdisciplinary collaborators to develop and assess advanced drug delivery
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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-aperture testing of advanced thermal compensation schemes; advanced numerical simulation and analysis tools; improved opto-mechanical sensors for current GWD; high-precision measurement of optical absorption
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networking technologies (desirable) experience with hyperspectral imaging systems, spectroscopic instrumentation, or multi/hyperspectral data analysis (desirable) knowledge of communication protocols, signal
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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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, 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