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, it is implemented via three-loop CF cascaded control. The project aims to develop: • Robust and fault-tolerant CF estimator overperforming Level 5 EV automation expectations under EMB parameters
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, world models, and hybrid architectures evaluated by capability per parameter, watt and training data. The vision is practical robot intelligence without enormous datasets, large fleets or unrestricted
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of integrated photonics and device physics. Ability to measure, analyze and interpret key passive and active waveguide device performance parameters. Significant knowledge of integrated photonic platforms, trade
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80%, based on the following parameters: IV.2.1.1. Scientific, technological, cultural or artistic production: Relevance, quality and national and international recognition of the scientific
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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models, parameter estimation and model validation). Documented knowledge and experience in data analysis and scientific computing (such as proficiency in Python/R/MATLAB, data visualization, machine
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
15 Jul 2026 Job Information Organisation/Company Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial Department Human Resources Research Field Engineering » Computer
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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is open, in the last five years or the extended period requested, if accepted by the committee, with a weight of 80%, based on the following parameters: IV.2.1.1. Scientific, technological, cultural