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mechanisms to support detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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with multitarget estimation for direction-of-arrival (DOA) detection and tracking in radar theory [12]. Graphs are a powerful data structure to represent relational data and are widely used to describe
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connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor
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environmental factors such as fluctuating wind speeds and saltwater exposure. Using advanced statistical and machine learning techniques, including Bayesian inference and stochastic modelling, the project will
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statistical and machine learning techniques, including Bayesian inference and stochastic modelling, the project will quantify and analyse uncertainties in the design and operational performance
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#5181 Public Notice - International Selection Procedure PhD Scientific Researcher Recruitment (Assistant Researcher) FCiências.ID/2026/DL57/cE3c/2 FCiências.ID - Associação para a Investigação e