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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
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23 Oct 2025 Job Information Organisation/Company IMT - Atlantique Research Field Computer science » 3 D modelling Computer science » Informatics Computer science » Programming Engineering » Computer
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postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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Mines Albi MAIN ACTIVITIES 1. Carry out the research tasks specified in ORION project • Development of a methodology on which the software tool will be based. • Development of a simulation model of the
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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using image analysis software already available at the LCTS. This will generate two types of computational domains: (i) porosity-calibrated images (i.e., images whose gray levels correspond to the local
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foundation models. You will bring your expertise in biology and data science to provide crucial scientific direction, ensuring we tackle the most important problems in drug development and translational
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 20 days ago
. The project that we propose is part of this growing AI4Science movement, focusing on a key challenge in experiments: figuring out which model parameters best match the data we observe (Figure 1). More
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investigate how intra-tumour heterogeneity (ITH) shapes the immune microenvironment in primary and metastatic breast cancer. Using spatial transcriptomics and mouse models, the candidate will map immune niches