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, or probabilistic modelling. Familiarity with HPC or cloud-based analysis workflows. Experience with immunological datasets or spatial tissue profiling is a plus. We offer: An international cutting-edge research
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tissue imaging, spatial multi-omics, and AI-driven analytics. The successful candidate will lead projects aimed at dissecting the molecular and cellular mechanisms that govern tumor progression
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Previous Job Job Title R6 - Spatialomics Scientific Lead / Spatial Project Coordinator - MIBAM Next Job Apply for Job Job ID 372780 Location Twin Cities Job Family Research Full/Part Time Full-Time
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, Microelectronics and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is located in Villeneuve d'Ascq, near Lille, France. With a total staff of over 500, the institute has a broad research scope ranging
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researcher to strengthen our work in point process methods and spatial point pattern analysis within internationally impactful research projects. Job description The researcher will contribute to developing
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research using spatial analysis and modelling across multiple landscape types you teach in general and more specialized Environmental Science courses that are part of the institute’s teaching programmes you
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 16 days ago
of participatory approaches to co-construct management pathways. Analysis of the effects of management measures and feedbacks between ecosystems and human uses, comparing static and adaptive spatial planning
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. • Contribute to interdisciplinary research projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Develop spatial analysis tools and geospatial
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Environmental and Spatial Epidemiologyresearch group at the Institute of Social and Preventive Medicine (ISPM), University of Bern. We investigate how environmental exposures, including ionizing radiation, air
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projects with application development and spatial analysis. U-Spatial is a nationally recognized model that advances the fast-growing need for expertise in Geographic Information Systems (GIS), remote