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Field
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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electronic components are necessary. Thus, new components are developed from gallium nitride (GaN) to manufacture fast switches and rectifiers that can withstand high voltages for reduced component sizes
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networks are not well-suited to the computational constraints of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted computations. The postdoctoral researcher
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within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
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the MASSALYA platform (https://lce.univ-amu.fr/equipes/massalya ). Volatile organic compounds (VOCs) will be measured using PTR-ToF-MS, complemented by offline analyses. Aerosol physical properties (number and
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
resources, with direct applications to societal issues such as natural hazards and climate change. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6118-MARTHO-001/Candidater.aspx Requirements
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potential in both research and clinical diagnostics. Objectives. As a post-doctoral researcher, you will drive the development of a robust, end-to-end detection pipeline for cytokines in plasma and other body
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to carbon metabolism—should enable the development of new environmentally sustainable strategies to enhance crop productivity. The development of legume crops, particularly pea (Pisum sativum), is essential
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multi-layer systems using a strip casting process. The project is divided into 2 tasks, as follows: 1) Development of an optimum casting formulation based on the starting powder supplied. Optimization
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are computationally prohibitive, which limits their applicability to a restricted set of parameters and configurations. In this project, we aim to develop novel analytical and reduced-order numerical methods