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. Correlating experimental, ab initio and multi-scale simulation as well as machine learning techniques is central to our mission: Development and application of advanced simulation techniques to explore and
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efficient simulators for continuous and discrete variable systems with noise based on Gaussian/stabilizer decompositions quantum error mitigation and correction for continuous variable systems evaluating and
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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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of language, seeks to use bespoke probabilistic models and/or computational simulations to study possible routes of the evolution of human pragmatic practices. As a starting point, the project seeks to develop
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simulation for submerged mooring lines”, in the scientific area of mechanical engineering, financed by IDMEC Project 1803P.00113.1.01, under the following conditions: Scientific Area: Mechanical Engineering
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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Job Offer from September 15, 2025 The International Max Planck Research School for Sustainable Metallurgy offers 6 PhD positions (m/f/d) in Sustainable Metallurgy (Experiment & Simulation
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applications. Your main tasks: Develop and integrate degradation models for multiscale and multiphysics simulations of solid oxide cells Validate models using experimental data (e.g. IV curves, EIS measurements
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motivated, international teams, we are working to position AIT as Austria’s leading research institution at the highest international level and to make a positive contribution to the economy and society. At