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both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal, at https://www.euraxess.pt/ . Pursuant to paragraph h) of Article 9 of the Portuguese Constitution
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
motions which are difficult to control and stabilize due to the high stiffness of the structure relative to its low inertia. The current approaches to manage them is either to avoid them, in cases where
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problem. Do a theoretical analysis of the assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with
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fields. Design a solution which is implementable on a computer and in hardware. Collaborate with colleagues to implement the solution in hardware at the ACES lab at the Institute of Theoretical
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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equivalent content. PhD in Computer Engineering (Spanish MECES level 4 or EQF level 8) or any other PhD programme with equivalent content. Where to apply Website https://ssp.ua.es/en/selecinvest/academic
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in English (reading, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one
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in the field of Portuguese Literature, in line with the Centre’s current research priorities (https://www.uc.pt/fluc/clp/ ). The successful candidate will carry out autonomous and collaborative