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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)
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technical writing and presentation skills; - Advanced programming skills (Python, JavaScript, R), including image processing, machine learning, and scientific & data visualization libraries; - Strong
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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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-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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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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staff position within a Research Infrastructure? No Offer Description We seek candidates to work with federated learning to validate machine learning models trained in different hospital networks
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resource management; (3) applying machine learning to spatial data analysis; (4) evaluation of agronomic variables such as leaf area index and nutrient dynamics; (5) validation of models and analysis
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planting density and resource allocation; (3) applying machine learning for spatial data analysis; (4) evaluating agronomic variables such as leaf area index and nutrient dynamics; and (5) validating models
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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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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