53 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Brazil
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vesicles (OMVs), exploring OMV-based cancer nanovaccines by using analytical approaches, cell culture systems, and animal models. The fellow will be based at CNPEM's Brazilian Biosciences National Laboratory
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rats; 3) Molecular techniques: ELISA, Western blot, immunofluorescence and fluorescence/confocal microscopy; 4) Brain dissection of young and adult rats; 5) Statistical analysis. Desirable requirements
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and molecular biology. Experience in pregnancy immunology and the maternal–fetal interface, including collection of placenta and umbilical cord blood and placental explant culture. Proficiency in
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of the project is to investigate how neuroinflammation and the protein annexin A1 modulate vulnerability and resilience in animal models of post-traumatic stress disorder. Applicants are expected to have prior
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statistics and data analysis, bioinformatics, microbiology, and molecular biology. Interested candidates should send an email to Carla Taddei (crtaddei@usp.br ), a professor at ICB-USP and co-PI
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will apply semantic modeling on the Multi-User Equipment (EMU) cluster infrastructure aiming at the generation of Explainable Artificial Intelligence (XAI). Mandatory requirements: Ph.D. in
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/axonopathies.” Prerequisites: • PhD degree in Biological Sciences or Health Sciences; • Experience in techniques such as Histology, Molecular and Cell Biology, Immunohistochemistry, miRNA and RNAseq analysis
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desirable. Candidates with strong training in virology and experience in cell culture and molecular cloning are also encouraged to apply. Experience with immunological assays and quantitative data analysis is
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for the understanding of bacteriophage biology. Required Qualifications: - A Ph.D. in Bioinformatics, Genomics, Molecular Biology, or a related field from an accredited institution; - Strong background in bacteriophage
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Diseases: Insights into Molecular and Cellular Mechanisms of Function.” The biological activity of Plasmodium spp. inhibitors will be evaluated and their mechanisms of action determined and validated using