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complex physiological environments (pH, ions, proteins, simulated body fluids). - Perform advanced multi-scale characterization (SEM, XRD, electrochemical analysis). - Develop predictive models integrating
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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therapeutic and rehabilitation patient monitoring, through the implementation of software platforms and predictive models based on Artificial Intelligence and Machine Learning techniques. Developing solutions
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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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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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, auditors and other external bodies. Develops financial modeling and predictive analysis using internal resource allocation models. Plans and implements a wide variety of financial planning related projects
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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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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 10 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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. 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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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