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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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modeling of structural variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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postdoc to join our team at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, and contribute to research on stochastic and statistical models for large-scale shape
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, including electrons and quasiparticles, as well as wave phenomena in metamaterials. Using primarily analytical approaches based on model systems, we investigate a wide range of physical systems—from quantum
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(Podostemaceae) in Neotropical rivers migrated and evolved as the Isthmus of Panama formed and develop the first model for the tempo and pattern of formation of riverine connections across the Isthmus
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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: applied mathematics, mathematical physics, engineering mathematics, theoretical physics, electromagnetic theory, electromagnetic modeling, microwave and RF engineering, electromagnetics Appl Deadline: 2026