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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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management and data cleanup. ● Spatial analysis. ● Programming or scripting for tools and web applications. ● Support in research and report writing tasks. User Services (10%) ● Research and respond
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machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly
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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
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elements of public space. The project has two core research pillars: 1. Spatial, Architectural, and Human-Space Analysis You will investigate how people use, move through, and experience wireless systems in
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to create analysis‑ready, topology‑correct 3D city models from multi‑modal geospatial data. The position is hosted at the Department of Mathematical Sciences at Chalmers University of Technology and the
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Postdoctoral Associate in Multi-omics analysis Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College
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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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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as