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this dataset and integrate it with literature data, aiming to build a comprehensive view of galaxy formation and evolution. The position starts on January 1, 2026, for 18 months. The postdoc will work with the
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. Candidates must have a proven track record of scientific achievement in graduate and/or postdoctoral studies. Experience in cell culture, molecular biology techniques, fluorescence microscopy, and animal
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staff position within a Research Infrastructure? No Offer Description The Center for Plant Molecular Breeding (CeM²P), an Applied Research Center (ARC) jointly supported by the São Paulo Research
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training in Cellular and Molecular Biology (with Master's and/or PhD degrees in the field); and proven experience in studies of vertical transmission of arboviruses in animal models. The project duration is
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(XRD) for structural analysis; • Dynamic light scattering (DLS) for particle size distribution and colloidal stability; • Magnetometry techniques (e.g., VSM, SQUID) for magnetic property evaluation
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the maintenance of tick colonies, molecular biology, cultivation of fastidious bacteria and blood sampling from small animals. The required registration documents are: 1) Curriculum Vitae. List of publication in
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experience in molecular biology is required, especially in techniques such as DNA/RNA extraction, PCR and genomic analysis, as well as experience in data analysis using bioinformatics tools. Knowledge of next
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collaboration with physicians from Hospital das Clínicas (HC), the hospital complex run by the University of São Paulo's Medical School (FMUSP). Candidates must have previous experience in molecular microbiology
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using methodologies recently developed by our group; and (3) exploring the star–disk interface through LSST light curves, spectroscopic and polarimetric follow-up, and hydrodynamic simulations. Candidates
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lines of research include percolation and interacting random walks, population dynamics and genetic models, information propagation models, characterizers in dynamical systems and inference, and modeling