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Field
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cells, and their spatial organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate
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and/or transcriptomics will be evaluated positively. Personal Skills Strong motivation to work both independently and as part of a team in an interdisciplinary environment, with the ability to pay close
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, the Chair may also interact with local expertise and technological platforms in bioinformatics, metabolomics, proteomics, transcriptomics, and multi-omics. Scientific objectives of the Chair The Chairholder
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Institute for Translational Medicine and Liver Disease | Strasbourg, Alsace | France | about 1 month ago
including sc/snRNA and spatial transcriptomics, patient-derived models, systems biology and AI platforms Opportunity to obtain a PhD within the U Strasbourg MD-PhD program Tenure track program at Inserm and U
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microbial genome sequencing, metagenomics, metabolomics, transcriptomics, single-cell or spatial profiling, and computational analysis. These technologies will be used primarily to identify microbial
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the integration and analysis of high-dimensional biological data (e.g., genomics, transcriptomics, proteomics, metabolomics) within population-based studies to investigate disease etiology and risk factors, and has
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
at Helmholtz Munich. The focus of the role will be the analysis of spatial transcriptomics and multi-omics data generated within SPACETIME. Responsibilities include data management, metadata collection and
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deliver end-to-end spatial biology services across spatial proteomics and spatial transcriptomics, including sample processing, assay execution, imaging and image analysis. The role also includes
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. Familiarity with high complexity transcriptomic datasets is also preferred. A bachelor's degree and some lab experience are required. Hourly salary range: 32.79 - 52.75
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interpretation using ICE mouse data, single-cell datasets, and publicly available transcriptomic resources Development and documentation of reproducible analytical pipelines, metadata specifications, and