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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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health register data and/or cancer research experience in Geographic Information Systems (GIS), geocoded data, and spatial analysis Basis of assessment Admittance of a doctoral student is based
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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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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 24 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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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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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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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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. • 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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biology, single-cell or spatial transcriptomics, bioinformatics, or multi-omic data integration. Experience with endogenous tissue, image analysis, or comparative developmental datasets is an advantage, but