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position within a Research Infrastructure? No Offer Description This project proposes the development of flexible wearable sensors for application in agriculture, with a focus on monitoring plant health
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staff position within a Research Infrastructure? No Offer Description This research project aims to develop a synthetic dataset generation technique to optimize the training of neural networks (NNs
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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Paulo state, Brazil, to work on the FAPESP Thematic Project entitled “Integrated Development of Biorefinery and Sugarcane Bioethanol Plant with Net-Zero CO2 Emissions: Pathways to Convert Renewable
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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Brazil is developing a project in quantum optics to develop squeezed light sources and sensors such as atomic magnetometers. The fellowship will be linked to the Young Researcher project as part of
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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-effective use of network signaling. The main idea is to explore new optimization approaches and robust techniques to handle channels and other parameter uncertainties and temporal variability, along with
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, analyzing how these movements position themselves within power relations and climate action networks, articulating knowledge, subjectivities, and public policies. The post-doctoral researcher will adopt
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publications abd advanced English proficiency. Experience in student supervision is desirable. Candidates must also meet the eligibility criteria for FAPESP post-doctoral fellowships (see https://fapesp.br/en