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variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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software protocol capable of generating a three-dimensional multispectral model augmented with nuclear measurement data and deployed in a form suitable for remote inspection and AR/VR-supported training
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? We urgently need breakthrough research in: recyclable & durable materials fast, data-driven surrogate models lifecycle-conscious design to reduce costs, increase reliability, and accelerate the North
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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. IRT relies on statistical models in which an unobservable quantity—the latent variable—represents the ability or trait score. However, this latent variable is not uniquely defined, as an infinite number
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, SPM, AFNI, or equivalent Advanced preprocessing: geometric distortion correction, harmonization, registration, longitudinal QC Diffusion MRI (tractography, microstructural models) Functional
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: Industrial Design and related fields. Objectives: The objective of this grant is to apply analog and digital modeling and testing techniques to create more sustainable industrial packaging that is
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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Professor Alberto Bressan in the areas of hyperbolic conservation laws and geometric optimization problems. These include: well-posedness, convergence and error estimates for approximate solutions, analysis