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estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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, representing the situation with Probabilistic Graphical Models such as Factor Graphs based on the fusion of multimodal sensorial information and integration at different layers of abstraction. The major
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identification, reduce uncertainty, and enable cost-effective risk managementIntegrate advanced coupled modeling with soft computing techniquesUse metamodeling for global sensitivity analysis Apply probabilistic
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves lab experiments, data acquisition, validating findings