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. - Bibliographic analysis and article writing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8002-MATBER-006/Default.aspx Work Location(s) Number of offers available1Company/InstituteCentre
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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direct immune activation. The project integrates molecular physiology, multi-omics, and spatial systems biology to uncover the mechanistic basis of this immune-metabolic switch. The successful candidate
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. The ideal candidate will have a solid background in quantitative methods, with particular emphasis on spatial data analysis, landscape ecology, and the integration of telemetry, demographic, and environmental
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their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, and the analysis of geocoded data, especially of epigraphic and archaeological origin. MAIN
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sequencing analysis, spatial transcriptome data analysis and genomic analysis for multi-omics studies. A highly competitive salary commensurate with qualifications and experience will be offered. Other
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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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analysis pipelines for processing transcriptomics and proteomics data, both single cell and spatial. You will be responsible for testing and implementing these pipelines in collaboration with scientists in
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the Sandelin and Falsig Pedersen laboratories, which are closely located at University of Copenhagen. Our recent work in this area includes: Spatially resolved analysis of microenvironmental gradients in cancer
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial