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C. elegans and its natural parasites. Associated projects entail evolve-and-resequencing, quantitative trait mapping, and field sampling with spatial analyses. The selected candidate will also mentor
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α-syn and dopaminergic neurons in a midbrain organoid odel. Integrating aged microglia with midbrain organoids will enable analysis of phenomena that recapitulate PD pathology, including α-syn
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 3 months ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable
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-cell and spatial assays. Ability to collaborate with biological scientists on omics-intensive research is essential. Demonstrated experience with the R language for biological data analysis and
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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analysis for single-cell RNA sequencing and spatial transcriptomics studies. Evaluates research results, reports findings and discusses project outcomes with staff involved. Organizes and manages data files
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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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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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Postdoctoral Associate in Multi-omics analysis Postdoctoral Associate in Multi-omics analysis Dr. Serpa’s Laboratory - Cyte Department of Population Medicine and Diagnostic Sciences College
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omics. Nat Methods 22, 58–62 (2025). https://doi.org/10.1038/s41592-024-02212-x Crowell, H. L., Dong Y., Billato I. et al. Orchestrating Spatial Transcriptomics Analysis with Bioconductor. bioRxiv