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capped RNA (TLDR-seq): full-length sequencing of capped RNAs (Nucleic Acids Res 2025, doi:10.1093/nar/gkaf240 ) Spatially resolved analysis of microenvironmental gradients in cancer (Science Advances 2024
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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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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 8 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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Internal Number: JR91931 Scheduled Hours Empty heading 40 Position Summary Empty heading Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in
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sensing techniques. The ultimate goal is to establish a framework for spatially extensive monitoring of European beech vitality under drought stress in Germany and Central Europe. This project offers
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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) government, industry, and local NGO’s. Your main contribution will be the development of a spatially explicit agent-based model of the society of the Metropolitan Region of Amsterdam, simulating circular
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(derived from AI-supported monitoring and analysis of sources such as satellite imagery, acoustic sensors, and camera traps) can inform spatial planning and decision-making for solar and wind energy