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experience in stellar astrophysics, survey data analysis, or machine learning, and strong programming skills. The position is for 12 months (renewable), based at IAG-USP. The fellowship is R$ 12,570/month
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; Previous experience in transcriptome data analysis from RNA sequencing (RNA-seq); Strong ability to interpret results and formulate hypotheses based on computational data. About the Project: The project aims
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(FAPESP). Deliverables: - Generate a database and produce an interpretative meta-analysis about plant stress tolerance under P restrictions; - Reproducible code repository (training/inference/validation
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) and hosted at the Institute of Energy and Environment (IEE-USP). Applicants must have experience in atmospheric numerical modeling, climate data analysis, and extreme events. Applications must include
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bioreactors; - Experience with downstream processes for product recovery; - Experience with analytical techniques such as spectroscopy, chromatography, and colorimetry; - Knowledge of Economic Analysis
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Transformers, to classify and analyze these celestial bodies. The candidate should have a solid background in dynamic astronomy and extensive experience in astronomical data manipulation and analysis. Knowledge
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incorporates the use of Artificial Intelligence tools to evaluate and adapt knowledge management practices. The candidate will conduct systematic literature reviews, critical analysis, data collection through
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, Microbiology, Molecular Biology, or related fields; • Proven experience in PCR techniques; • Leadership and team supervision skills; • Experience in scientific writing and data analysis. Benefits: • FAPESP Post