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- UNIVERSIDAD POLITECNICA DE MADRID
- Computer Vision Center
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pipelines for the management, analysis, and visualization of geospatial data and ancillary cartography using R, Python, and Google Earth Engine. 3. Desarrollo de workflows reproducibles para la validación de
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science disciplines • Excellent academic record and strong interest in academic research • Strong quantitative methodological skills, particularly for longitudinal data analysis, and proficiency in using
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on the Word-Center paradigm's goal to decouple spatial mapping from reading processes), convert the Master’s thesis document titled "Design and Validation of a Hybrid Stimulus fMRI Paradigm for Simultaneous
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research career with scientific, territorial, and policy impact. In addition, the researcher will participate in scientific activities related to ongoing group projects, including data analysis, preparation
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of Universidad Politécnica de Madrid working in the SafeNet project funded by Horizon Europe (https://safenet-project.eu/ ) and will contribute to the following main tasks and analyses, as well as to other general
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of computational methods for the analysis and integration of transcriptomic data obtained using single-cell RNAseq and spatial transcriptomics technologies, which enable the study of gene expression at cellular
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related to staff position within a Research Infrastructure? No Offer Description The proposed project will develop green, miniaturised and high-performance sample preparation workflows for the analysis
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-Cas9 genome-edited and fluorescent reporter pluripotent stem cell lines to track and interrogate developmental transitions. • Perform cell surface marker analysis, cell enrichment and isolation by flow
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Research FieldGeography » CartographyEducation LevelUndergraduate Skills/Qualifications PURPOSE OF THE CONTRACT WITHIN THE FRAMEWORK OF THE PROJECT: Technical support for spatial analysis tasks, with a
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join the Pyrenees4Clima team at CREAF. The candidate must have demonstrated expertise in the study of socio-ecological systems and complex systems analysis, with the ability to understand and model