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Europe".The research activity focuses on spatial analysis and remote sensing applied to the study of soil degradation and erosion processes, with particular attention to identifying patterns, assessing
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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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proteomics. Experience with spatial data analysis including multiplex IHC and CODEX. Familiarity executing bioinformatics pipelines in local UNIX/Linux environments and cluster execution (LSF). Proficiency in
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | about 2 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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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing, single nuclei RNA sequencing and spatial transcriptomics
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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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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Nelson research group (https://research.fredhutch.org/peternelson/en.html at the Fred Hutch
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project (www.bigdatpol.com ), we are looking for a doctoral researcher with a strong interest in AI-driven analysis, modelling and decision support. About the project Crime and security constitute a
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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and