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Field
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. Knowledge in image analysis software (e.g., Volocity, ImageJ, etc.) highly preferred. Knowledge in spatial omics analysis and associated software (e.g., Loop Browser, SURAT, etc.) highly preferred. Knowledge
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through the analysis of oceanographic samples, interpretation and synthesis of multidisciplinary datasets, dissemination of research findings through publications and presentations, and archiving of data in
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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Stage Researcher (R1) Positions PhD Positions Application Deadline 12 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded
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project at KU Leuven: Development of novel integrative spa-tial multi-omics approaches KU Leuven is offering a PhD position focused on the development of innovative integrative spatial multi-omics
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The following full-time (39.5 h/week) position in scientific bioinformatics is available at Heidelberg University, to begin on January 01, 2027 : Bioinformatician (f/m/d) Multi-Omics Data analysis
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, bioinformatics, genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and mobile health. Division faculty are active in a wide
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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, electrical polarisation and, then evaluate cell-matrix interactions using live-cell imaging, molecular assays and, spatial transcriptomic approaches to identify key mechanisms linking matrix mechanics
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for PhD Researcher positions in the area of quantitative, historical and archaeological urban research. The particular focus of the position will be on analyzing urban patterns and processes across large