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Position Information Position Information EEO Statement Working Title Immune Metabolism Modeling Scientist (Temporary) Department Biochemistry-0831 Requisition Number S_260657 Posting Open Date 08
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), one of Canada's leading neuroscience research centres. The successful candidate will develop next-generation human experimental models to investigate the cellular and molecular mechanisms underlying
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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, socioeconomic, and geospatial data; Contribute to patient-level and population-level modelling approaches, including temporal, spatial, and multimodal prediction frameworks; Apply and evaluate methods for disease
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Spatially fractionated Treatment Optimization) we are offering a PhD student position (all genders) – (part time 65%) Posting-ID 26.125 – 1530 While conventional therapeutic beam applications typically aim
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to the spatial transcriptomic data. Research duties for the second position will include developing new spatial models, computational methods, and theories with application to spatial multiomics data
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, spatial data analysis, and development of environmental monitoring frameworks that combine remote sensing, spatial modelling, and field-based ecological data. Working across existing projects and new
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The successful applicant will join Julien Resseguier’s “Spatial Immunology & Nanomedicines” group and become a key member of the Comparative Immunology team at the Department of Biosciences. The project “Fish
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and