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addresses a key gap in current industrial practice, namely the lack of formal system models that integrate structural specifications with spatial and temporal behavior. Building on the Information Modeling
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experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in data analysis, preprocessing, manipulation, and cleaning. Excellent
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work with modern molecular profiling (e.g., single-cell and spatial transcriptomics, ATAC-seq) and quantitative imaging (including confocal microscopy). Start date is July 1st, 2026. Responsibilities
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Quantification and spatial analysis of immune biomarkers (e.g. TILs, immune subpopulations) Development of AI pipelines for automated analysis of whole-slide images Predictive modelling of relapse and metastasis
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availability within plant roots shapes development, physiology and adaptive responses. The overall aim of the project is to understand how internal oxygen landscapes arise in roots and how these spatial
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tissue homeostasis and disease, especially using single-cell and spatial omics approaches. Our research is highly interdisciplinary, interfacing tumor biology, immunology, and neuroscience, with a strong
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studies of visuo-spatial and language skills in toddlers at elevated likelihood for autism in comparison with neuro-typically developing children Recruiting and testing participants Analysing datasets and
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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strategies for sharks, turtles and climate resilience in pelagic ecosystems, helping to translate cutting-edge science into practical tools for marine spatial planning and species recovery. About the person
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develop an industry-funded soil health framework for Australian agricultural production systems. The CERC Fellow will be a broad soil systems thinker and have a strong interest in using spatial approaches