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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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with machine-learned quantum mechanical force fields trained on diverse chemical fragments. Sci. Adv.10, eadn 4397(2024) Where to apply Website https://ecolecentraledelyon.recruitee.com/ Requirements
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analyses of declustered catalogs will quantify background seismicity changes, a sensitive proxy for stress evolution on the fault. Machine learning approaches will be used to characterize empirical
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(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). His/her scholar background should include: • statistical/machine learning, statistical inference
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs
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30 Jan 2026 Job Information Organisation/Company IMT Atlantique Department Computer Sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions