46 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" positions in Brazil
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(WGBS), epigenomic pipeline development, Differentially Methylated Regions (DMR) identification, multi-omics data integration, field experiments, phenotyping, data management, FAPESP reporting, and
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related to staff position within a Research Infrastructure? No Offer Description Activities and context: The research will focus on the forensic discrimination of Brazilian beef, employing data fusion
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and 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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in statistical data analysis, scientific publications, and/or participation in research and innovation projects. Candidates should have strong skills in experimental planning, data analysis and
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training of human resources in Geophysics. Mandatory requirements PhD in Geophysics, Physics, or Engineering, with a background in Seismology and seismic data processing. Experience in scientific
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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
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bioinformatics. Proven experience in handling viral vectors, cell culture, flow cytometry, and recombinant protein production is required. The candidate must have technical proficiency in mass spectrometry data
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; • Calculate kinetic energy per wave regime via wavelet transform and correlate it with WBC variability of GLORYS reanalysis; • Develop and apply routines for comparative data analysis of SAMOC/SAMBAR and
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; • Work with state-of-the-art microscopy platforms; • Integrate structural and functional data; • Work in an interdisciplinary and collaborative environment. Mandatory requirements • PhD in Biology
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dedication in accordance with FAPESP regulations. Requirements Qualifications: Practical knowledge of multi-omics experimental design and computational data analysis; proficiency in bioinformatics and