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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv
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resources that drive innovative biostatistical and statistical methods. Opportunities for broader impact include initiatives such as the Cancer AI Alliance: https://www.canceralliance.ai . All faculty
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University in St. Louis More Jobs from This Employer https://main.hercjobs.org/jobs/21956109/statistical-data-analyst-institute-for-informatics-data-science-biostatistics Return to Search Results
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, fixed term contract upto July 2026). Spatial abilities include the ability to understand the spatial properties of objects and to mentally visualise objects and problems. Spatial abilities in childhood
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world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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at the University of Oxford, the British Geological Survey, and with various external partners, including government bodies and industry as part of the DarkSeis (https://geophysics.gly.bris.ac.uk/DarkSeis/index.html
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research activities within the project "SPECOLA – Spatial Transcriptomics through the Lenses of Statistical Modeling and AI," funded by the European Research Council (ERC) under Grant Agreement No. 01171662
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Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
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these skills. Competence in data processing, statistical analysis, and the development of ML models, or a clear willingness to gain such expertise. Experience with GIS-based spatial analysis, or a clear