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Field
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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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for the processing and analysis of multimodal spatial biology datasets. Design and apply advanced image analysis algorithms for cell segmentation, feature extraction, and debarcoding for lineage tracing. Statistically
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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related to staff position within a Research Infrastructure? No Offer Description POSTDOC IN DIGITAL PATHOLOGY Therapy-response prediction using spatial biology THE GROUP: The candidate will be part of
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. • English
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1 Oct 2025 Job Information Organisation/Company Université Catholique de Louvain (UCL) Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Recognised Researcher
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within a Research Infrastructure? No Offer Description Department: Mathematics & Statistics Vacancy ID: 037903 Closing Date: 26-Oct-2025 The Department of Mathematics and Statistics at Maynooth is seeking
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skills (one or more of the following strongly desired) Exploratory analysis of massive datasets (machine learning methods) Spatial data analysis and Geographic Information Systems (GIS) Forecasting and