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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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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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, 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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: 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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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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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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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
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precision mechanics and opto-mechanics design and construction. Experience with industry practices and standards used in drafting, modeling, and design development/revision. Proficiency in geometric
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular
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the geometric and functional flexibility of homogeneous self-assembly of individual dynamins. In addition, we will model and explore heterogeneous dynamin interactions, which have long been overlooked in