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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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of BRGM's work is to provide geological knowledge and an understanding of phenomena linked to the soil and subsoil, with one overriding objective: to meet the challenges of environmental change through
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://unveil-dn.eu/ ). The goal is to understand how objects are built and age and to support conservation, restoration, and authentication—while training 12 doctoral researchers across engineering and the
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concentrates on global design of the turbomachinery stages for decarbonization. PhD Objectives The overarching objective of the PhD thesis research project is to combine numerical tools with multiple levels
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equalizer (DFE) and a channel decoder based on PGMs and BP. The proposed research project aims to explore when and how combinedGNNs and PGMs can improve Bayesian receiver design and beamforming for multiuser
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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University of Oslo. Place of work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The position is connected to the project “Bayesian Enhanced 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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experience. This PhD project investigates how such radio signal cues can be identified, selected, and integrated into learning-based navigation frameworks. Research Objectives: The PhD candidate will