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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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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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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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as mutual learning processes between science and practiceIt is expected that the candidate has experience in, at least some, of the following areas: applied ecology, conservation, human-wildlife
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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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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