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practices ● Fluency in programming languages such as R and Python. ● Demonstrated ability to make reproducible code for cleaning, integrating, and modeling spatial/temporal data from multiple sources, spatial
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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control) due to multiple interacting disturbances such as wildfires, drought, and insect outbreaks. The researcher will apply and adapt a spatially explicit multi-hazard risk assessment framework developed
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. This project will advance our understanding of the conditions that led to reef growth, stress, collapse, and recovery during periods of rapid climate and environmental change, spanning multiple spatial and
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recovery during periods of rapid climate and environmental change, spanning multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences
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Preferred Qualifications : Competitive candidates should be highly motivated and possess a PhD in quantitative/spatial ecology of wildlife or a related discipline with a strong quantitative emphasis (ABD
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. The successful candidate will: 1) Lead the development of computational pipelines for the integration of large-scale single-cell omics datasets, including single-cell CITE-seq, scATAC-seq, and spatial
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multiple spatial and temporal scales. The PDRA will be based in the Geocoastal Research Group within the School of Geosciences at the University of Sydney. The School of Geosciences is a dynamic, collegial