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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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advancements in spatial bioinformatics. Assist with the epigenetic analysis performed within CIMP and MBH lab. What we offer Opportunity to become a leading-edge expert in spatial bioinformatic, being
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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria
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related field. You bring a strong analytical background and experience with optimization models and quantitative analysis methods. Familiarity with urban energy systems, energy infrastructures, or spatial
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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spatial accuracy of approximately 5 nm and temporal accuracy of 2 to 5 ms in cell cultures on coverslips. The aim of this project is to achieve the same performance in depth in biological tissues
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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(preferably in R and/or Python). b) Preferential factors: Familiarity with spatial data analysis and/or Machine Learning methods will be valued. Workplan and objectives to be achieved: The work plan aims
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) (Dr. Simpson’s webpage). The original call for the solicitation can be found here: https://www.energy.ca.gov/solicitations/2025-02/gfo-24-307-advancing-designs-and-analysis-high-voltage-direct-current
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly