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interpretation; Experience in kinetic modelling: kinetic Monte Carlo or deterministic – Python/MATLAB/Fortran/C Sufficient communication skills in English – both oral and written. Living in Belgium or ready to
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hadrons and atomic nuclei. Of particular interest is the spectrum of quantum chromodynamics. Fundamental tools are Monte Carlo simulations, which are also successfully applied to strongly correlated
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spanning the project lifetime, with Monte Carlo simulation over weather years and component time-to-failure. The models are currently implemented in MATLAB with an Excel interface. Training in their
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example of such alternative approaches are quantum computers. These promise to tackle numerical problems such as monte carlo sampling or large-scale optimization, which are NP-hard for conventional CPU
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Renormalization Group (DMRG) - Quantum Monte Carlo (QMC) - Tensor network methods [Theoretical Physics Interface] - String theory & its applications to condensed matter - Holographic methods in many-body physics 4
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additional source of information. This approach could enable the simultaneous imaging of different aspects of disease biology within a single scan. The project will involve Monte Carlo simulations and hands
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modern quantitative finance. Students will master key techniques, including finite difference methods for solving partial differential equations arising in option pricing, Monte Carlo simulation and
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. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field modeling and Monte-Carlo simulations for
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with network science or graph analytics concepts, including: Graph modeling and analysis using tools such as NetworkX Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or
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equivalents). Introductory experience with graph‑based ML or GNNs is a plus Monte Carlo or stochastic simulation methods Synthetic data generation or simulation‑in‑the‑loop workflows Familiarity with