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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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This postdoctoral position offers a unique opportunity to work with research on two ongoing spatial transformation projects in Sweden. The projects situated in two different geographical contexts
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11 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Etudes en Géophysique et Océanographie Spatiales Research Field Environmental science Environmental science » Earth
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candidate for a project applying state-of-the-art high-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor
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expertise, including facilities for high-throughput screening and high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
Responsibilities: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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the context of rapid and unprecedented global urbanisation affecting the Baltic region of Europe, conventional approaches to spatial analysis for urban planning and governance are no longer adequate
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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational