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Description of the offer : The aim of this project is to develop a digital twin for spintronics - a platform for simulating and characterising a magnetic object from its theoretical design through
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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configurations. Exploring these vast and heterogeneous design spaces is computationally demanding, often requiring costly simulations and automated optimization loops to efficiently navigate trade-offs and
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computational models to map and analyze interactions within biological networks, thereby identifying key pathways and targets for therapeutic intervention. -Simulations and Virtual Drug Screenings: Aiding in drug
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, for a given attacker model, of a system embedding hardware/software countermeasures against fault injections. Gobally, these tools implement a methodology that have shown to be successful to find
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initiation. To this end, researchers are focusing on the development of new data-driven approaches integrating imaging information and patient physiological characteristics to improve the simulation and
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, for example by developing novel approaches to constrain learning-based models by mechanistic priors. Thanks to the proposed theory, we will investigate the use of simulations informed by such mechanistic
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at Attolab in CEA-Saclay and to advance understanding of the experimental data through modeling. Contract duration (months) 1 year, renewable for 1 additional year Job description Your mission will focus
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reconstruction is formalized in mathematical terms as an inverse problem with regularization. In the morpheme group we have proposed model-driven approach (e.g., COL0RME [1]) as well as model-based data-driven