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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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. You will apply convex, distributed, stochastic, and robust optimization methods to engineering problems in transportation, logistics, energy systems, and manufacturing. This hands-on focus will make
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these fields. As an Assistant Professor, you will develop your own research line, combining theoretical advancements with practical applications. You will apply convex, distributed, stochastic, and robust