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Field
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optimizelibrary preparation for scRNA-seq, snRNA-seq, spatial transcriptomics, and related workflows, while contributing to the bioinformatic analysis, integration, and interpretation of multi-omic datasets. You
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omics-based approaches. Interest in spatial biology, single-cell/spatial omics technologies and the integration of tissue-based, molecular and clinical data. Basic computational and data-analysis skills
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molecular biology, genomics, bioinformatics, and data analysis. Participation in an innovative project focused on epigenetics and the spatial organisation of the genome. The opportunity to work with state
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, implement, and maintain open-source research software tools for the visualization and analysis of genomic, single-cell, and spatial omics data. Project Leadership: Take engineering and research ownership
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studies, critical infrastructure studies, heritage research, and spatial analysis. The PhD position is funded for three years, starting 1 March 2027 and ending 28 February 2030, and is embedded within
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
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Politécnica de Madrid, aprobado en la UPM. Additional comments We are offering two fully funded PhD positions at the Technical University of Madrid (UPM) within the ERC CoG project “Scalable Spatial Sensing and
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students; major areas of focus include providing expertise in the application of spatial technology workflows for slide preparation and analyzing spatial and sequence data, collaborating with investigators
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
tissues and organs as spatially organized metabolic and chemical landscapes using imaging mass spectrometry. The PhD project combines spatial metabolomics, spatial exposomics, and tissue morphology