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- FAPESP - São Paulo Research Foundation
- Faculdade de Medicina da Universidade de São Paulo
- CNPEM/LNLS
- Centre of Excellence for Research in Sustainable Chemistry
- Institute for Advanced Studies, University of São Paulo, São Paulo / FAPESP (BIOTA SYNTHESIS – Nucleus of Analysis and Synthesis of Nature-Based Solutions)
- University of Sao Paulo
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Field
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-of-the-art machine learning techniques, such as Deep Learning, LLM, Generative AI, and Graph-based Learning, capable of learning from different data sources and integrating information from various formats and
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Research Corporation) in Campinas, São Paulo state. The activities involve collecting proximal and drone images in the field, applying deep learning models to the generated image datasets to solve problems
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requirements of FAPESP (São Paulo Research Foundation, grantor institution): https://fapesp.br/en/postdoc ; - PhD in Agricultural Engineering, Agronomy, or correlated areas; - Excellent English language
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Skills: Strong track record in publishing high-quality scientific articles in peer-reviewed journals; • Domain Knowledge: Deep understanding of quantum computing and/or quantum optimal control theory
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Project “Imaging working catalysts/ Catalytic correlations in nanoporous materials” (FAPESP 2021/06876-1).Candidates must hold a PhD in Chemistry, Physics, or related fields, with experience in simulation
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for coating scaffolds (immersion, deep coating, sprinkling, others) (4) characterisation of sacaffolds; (5) knowledge of modeling using software such as Origin, Excel, Statistica, MATLAB, others. Candidates
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. Candidates must have a PhD in Chemistry, publications in catalysis and CO2 reduction, preferably as first author, as well as knowledge of advanced spectroscopic characterization techniques. Recent PhDs with
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from new readings and research. Requirements for candidates: 1. PhD in Humanities and Social Sciences and/or PhD in Education; 2. Experience in educational work as a manager, teacher or specialist in
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) PhD in High Energy Physics and have experience in HEP data analysis workflow (computer modeling generation, reconstruction, etc.), including modern programming languages like Python and C++. Good
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Offer Description Postdoctoral Opportunity at the Healthy Ingredients Biotechnology Platform (PBIS) – supported by FAPESP and coordinated by the Institute of Food Technology. Requires a PhD in Food