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Field
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support all aspects of the research project. Carry out algorithmic development and data analysis, including (but not limited to) single-cell and spatial transcriptomics. Implement state-of-the-art
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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sample preparation, ion exchange column chemistry, low-level trace element geochemistry and/or high-precision radiogenic isotope analysis. Demonstrated experience in U-Th geochronology, MC-ICP-MS
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microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data. This position offers an opportunity to work
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Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent
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related field. Demonstrated analytical skills, including proficiency with the R environment, spatial analysis and/or social research methods will be well regarded. This role offers a unique opportunity to
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temporal trends, spatial variation, site comparisons, and summary statistics. Research Analysis and Project Deliverables: · Support the interpretation of field measurement results in relation to urban
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capabilities. By combining complementary technologies and expertise, the Cluster supports advanced biological and biomedical research across multiple spatial scales. Appointments will be made on a 2 years
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how the resulting multimodal data can support species identification, the characterization of morphological variation, and the spatial analysis of heavy metal accumulation. Alongside shaping
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feasibility, spatial placement and configuration of NBS and evaluate their performances from a decision support context. The successful applicant must ensure AI and machine learning technologies are well