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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
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learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
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field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
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in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics, Indiana
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 3 hours ago
Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical
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Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department of Physics
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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performing atomistic simulations with Density Functional Theory and Molecular Dynamics. Data analysis and coarse graining in order to provide parametrisations for upper scale models (Kinetic Monte Carlo and
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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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for reasoning over heterogeneous historical and social data (texts, maps, images, archaeological records), combining causal discovery, multimodal modelling, and agent-based simulation to produce open