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, machine learning, or a related field. Experience in data analysis, statistical modelling, signal processing, AI, or radio astronomy will be particularly relevant. Experience with LOFAR, NenuFAR, MWA, HERA
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modeling framework that combines physical glacier modeling with physics-informed machine learning using differentiable programming (Universal Differential Equations). Using the ODINN.il glacier model
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhône-Alpes | France | about 2 months ago
research findings through peer-reviewed publications and presentations at leading venues in machine learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr
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Information Additional comments Candidate Profile and Required Skills: Background in AI: Strong academic background or training in artificial intelligence and machine learning / deep learning. Technical
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ability to develop reproducible processing procedures. * Knowledge of machine learning and an interest in language models. * Ability to analyse complex data and assess the uncertainties and limitations
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be to use machine learning on a simulated database to develop the tool, and then apply it to real data from GRAVITY/VLTI (K band), MATISSE/VLTI (L, M, N bands), LBTI, and SPHERE/VLT or ERIS/VLT. This
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sequencing, and the overall system design by using finite element modelling (FEM) and machine learning (ML) tools. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR22-MARPEC-007/Default.aspx
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processing/computer vision and machine learning. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5216-VIRFAU-063/Default.aspx Requirements Research Field Physics Education Level
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interpretability methods for machine learning models (variable importance, Shapley values) applied to the model developed by Doussot et al. (2026). 3) Carry out counterfactual sensitivity experiments: re
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Neural Networks. The group combines expertise in stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as