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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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nanoparticles (LDE) as a vehicle. Secondary objectives include: stability and cytotoxicity tests, pharmacodynamic, pharmacokinetic, and toxicological studies in mice and cell culture, and proteomic. The research
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, behavioral testing, and fiber photometry is required, as well as experience with confocal microscopy and immunofluorescence. Interested candidates should send, by March 06, 2026, to Prof. Felipe Villela Gomes
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) supported by the São Paulo Research Foundation (FAPESP), and integrates disaggregated administrative data analysis, qualitative interviews, and a critical review of public policies. The study will examine
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Subgroup 9: Social Transformation in the Context of Climate Change. The research aims to critically examine the discursive and non-discursive practices of housing movements in relation to climate change
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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Educational background and field of knowledge: Agricultural Engineering/Agronomy or related fields, with a focus on Plant Pathology. Specific Requirements The candidate must hold a PhD degree with a thesis
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, Bulk RNAseq), molecular modeling, and structural bioinformatics. Mandatory Requirements: • PhD in Genetics, Genomics, Bioinformatics, or related fields (completed within the last 7 years); • Proven and
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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, Pharmacy, or related fields; • PhD in Medicine, Sciences, Psychobiology, or related areas; • Strong background in Physiology, Reproduction, and/or Microbiology; • Experience in clinical and preclinical