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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 2 days ago
to confirm or challenge the initial findings. He or she will also be expected to test and develop new calibration transfer methods, including neural network approaches, notably in collaboration with
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computational profile acquiring expertise in periodic DFT calculations, neural network potentials, automated reaction-network exploration, and scientific large language model agents, all applied to chemically and
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30th April 2026 Languages English English English The Kavli Institute for Systems Neuroscience has a vacancy for a PhD in Systems Neuroscience of Neural and Behavioral Algorithms of Pursuit Apply
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
(graph neural networks and transformers) The objective is to learn conformational heterogeneity directly from molecular dynamics simulations and to identify and predict allosteric communication pathways
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photonic systems, in particular, make it possible to harness the richness of optical dynamics to perform complex operations inspired by biological neural networks. However, current approaches face
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induced seismicity. Current models remain limited by the scarcity, heterogeneity, and noise of available data, as well as by incomplete knowledge of the subsurface. Physics-Informed Neural Networks (PINNs
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INFOCOM 2023 [9] A. Collet, A. Banchs, M. Fiore, LossLeaP: Learning to Predict for Intent-Based Networking, IEEE INFOCOM 2022 [10] C. Zhang, M. Fiore, I. Murray, P. Patras, CloudLSTM: A Recurrent Neural
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modeling with experimental validation and has two major objectives: Development of a physics-informed neural network (PINN) framework You will design and implement a simulation framework to model
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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when the shared representations between tasks are limited or trained. This project aims to test these predictions using a behavioral, neural and real-life approach. We will focus on young adults, but