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with colleagues in theory who propose optimized designs for your devices, and both receive and provide help to fellow colleagues performing the experiments. You will also have the opportunity to carry out your own
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to be developed: Implement and optimize inkjet printing processes using Fujifilm Dimatix printers, both in ambient and inert conditions. Optimize photochromic films printed on various substrates
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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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., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
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foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks (pytorch), 3) problem solving skills, 4) familiarity
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and apply multi-objective analyses based on Pareto optimality to 2D and 3D root system architectures. Extend the Ariadne pipeline to integrate new tradeoffs (robustness, redundancy, transport capacity
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providing innovative composite solutions or optimizing the usage of existing solutions in demanding Energy and Mobility applications. Our laboratory expertise incorporates three main areas: Design of
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language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences
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terms of universal computational skills. We encourage you to describe your work using broader technical terms—such as "statistical data analysis," "workflow automation," or "algorithm optimization"—rather
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methods in rice processing, focusing on modeling, simulations, and optimizing post-harvest operations, including drying, storage, and milling. Research will emphasize energy efficiency, sustainability