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Job Description Are you excited about developing advanced models and algorithms to better understand and predict human decision-making? Are you interested in integrating behavioural models with
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nonlinear fiber-optic channel. The project will cover both algorithm development as well as experimental implementations. We offer an opportunity to develop expertise in various domains, including but not
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quantitative metrics of faults and defects, integrating statistical metrics into active inspection behaviors. Collaborate with a multidisciplinary team—from the AUTOASSESS project—to integrate your algorithms
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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PhDs at the Department who are working on related topics. The PhD project has the main objective to develop distributed control algorithms which will contribute to ensuring secure and stable operation of
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, creative labor, and cultural and communicative work, to the use of technologies, artificial intelligence, and algorithmic management. These focus areas are suggestive, and applications that address other