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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal
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heterogeneity in head and neck cancers (squamous cell carcinoma, salivary gland cancers, and other tumors). We have advanced the application of single cell sequencing and spatial technologies to rigorously pursue
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sequencing and spatial transcriptomic data analysis* Strong track record of research as evidenced by publications in referred journals* Strong written and oral communication skills as evidenced by data
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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and histological analyses, comprehensive animal behavioral testing, muscle and nerve electrophysiology, the use of genetically modified animal models, as well as spatial transcriptomics and proteomics
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Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
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are looking for a PhD Student in aerosol science Your tasks Scientific research on the spatial distribution air pollutants in Romania using a mobile laboratory Perform measurements within the Romanian-Swiss
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novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. · Engage in undergraduate, graduate, and postgraduate teaching and mentoring activities
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LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our understanding of vegetation
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research and applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new