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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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, demonstrable experience in mass spectrometry-based proteomic analysis or in RNA sequencing, as well as a background in immunology and biochemistry; - Experience in quantitative proteomics data analysis and de
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viral vectors, cell culture, flow cytometry, and recombinant protein production is required. The candidate must have technical proficiency in mass spectrometry data analysis, large-scale data processing
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
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for general image classification tasks. We are particularly interested in applications involving weather radar imagery and medical imaging. Mandatory requirements: Ph.D. in Computer Science, Mathematics
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collaboration and provides access to high-resolution molecular analysis technologies. Mandatory requirements • Experience preparing clinical samples for multi-omics analyses, particularly transcriptomics and
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–Pulmonology and the Respiratory Intensive Care Unit at the Heart Institute (InCor) of Hospital das Clínicas (HC), the hospital complex run by the University of São Paulo's Medical School (FMUSP) in Brazil
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: a continental data synthesis and meta-analysis” is available at CCARBON, a Research, Innovation and Dissemination Center (RIDC) supported by FAPESP and hosted by the University of São Paulo's Luiz de
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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing