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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns, accessibility, and environmental exposure. • Collect, analyse, and interpret data using
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic
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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offer Embedding within a computational team, with extensive experience in computational biology and
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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, preserving critical information about their spatial interaction. Advanced mass spectrometric analysis serves to detect and interpret cross-linked peptides, providing detailed insights into the specific domains