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will bridge advanced computational mechanics with physical reality, moving beyond trial-and-error by leveraging surrogate modeling (e.g., Kriging or Gaussian Processes) to efficiently explore complex
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associated with the underlying point processes. The statistical tests will be developed using two types of limit theorems: asymptotic results in the Gaussian regime (central limit theorems) and in the Poisson
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conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic models and
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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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, including sequential Monte Carlo methods, Gaussian processes and Bayesian compressed sensing. Applicants from different backgrounds are encouraged to apply depending on the specific nature of the project
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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of large data sets. Determining fundamental and technical limits of a measurement, using principles such as the Cramer Rao bound and Fisher information, Gaussian process, Kalman filter, and state estimation
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) Theoretical Modeling: Develop and refine models for entanglement harvesting using continuous-variable quantum information theory and Gaussian quantum states steering. (2) Experimental Simulation: Simulate
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and to large, longer-term petabyte-scale storage (~6 PB). The computer cluster offers over 400 software modules (e.g., Gromacs, Gaussian, Mathematica, MATLAB, MOLPRO, Turbomole). Responsibilities
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of expensive evaluations required for prediction and optimization. A classical approach is co-Kriging (Kennedy--O'Hagan), which models the high-fidelity response through an autoregressive Gaussian process (GP