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on integrated analysis of omics data, including RNA sequencing, spatial proteomics, digital pathology, and gene expression profiles, from various cohorts of patients with ovarian tumors. The work aims
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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications A PhD Degree in Engineering or Mathematics. Specific Requirements
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: To have a PhD in Biology, Microbiology, Agricultural Sciences or related areas obtained within the three years prior to the date of application for this research grant;; The place of development
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion microscopy (ExM) adapted for spatial transcriptomics to identify
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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental
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require more than visually plausible models: they require analysis‑ready geometry for simulation and decision support. This PhD project develops methods to generate LOD3 urban surface meshes from
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics