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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time
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behavioural predictions into the same framework, based on heterogeneous mental models which are used to evolve internal, imaginary scenarios within the robot. Indeed, the robot will ”imagine” multiple solutions
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. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
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physical models (including dispersion forces, magnetic effects, and ligand–solvent interactions), and train modern deep-learning methods to create smooth and reliable energy landscapes. A key goal is predict
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 5 days ago
of predicting the aging of overhead conductors for energy transport. This is one of the major challenges of the new maintenance policies of network managers. Among operational stresses, wind-induced wind
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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the Niels Bohr Institute, University of Copenhagen, is seeking a Quantum Systems Modeling & AI Engineer or Academic Research
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processes, transport, and stress evolution interact at material interfaces, using multiphysics modelling and experiments to predict performance and durability. Who we are looking forThe following requirements
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Dynamic Atomistic Predictions of Crystalline, Crystal Defect and Liquid Metal Properties NIST only participates in the February and August reviews. Classical interatomic potentials provide a means