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transient motions at the top of Earth's core. The benchmark will be the subject of an international call to candidate models. It will lead to an evaluation of the various methods when applied to synthetic
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and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
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generation, based on four-wave mixing (FWM) processes that take place within the gain medium, render QCLs as ideal candidates for the generation of on-chip multi-mode squeezed states of light. The successful
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aspects of artistic know-how in the field of digital graphic creation, to explicitly model them in algorithmic form, and to integrate them into state-of-the-art artificial intelligence methods for image and
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And FerroElectric properties of ScAlN alloy) project aims to develop and understand a new class of lead-free ferroelectric materials based on scandium aluminum nitride (ScAlN). These alloys combine
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charged residues in the initial coding region (Ousalem et al., Nat. Comm. 2024). Based on this discovery, we have developed the RiboStallRescue project in collaboration with Axel Innis's team (University
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considered under-studied today, see UNESCO report, 2020). • Bibliometric research based on a method of identifying field sites in publication corpora. • The production of world maps highlighting
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The mission of the researcher is to design enzyme bio-scavengers to neutralize against small molecule toxins. The researcher will use AI-based protein (re-)design tools, and experimentally validate the designs
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fabrication of suspended Si membranes using the state-of-the-art cleanroom facilities at C2N. The work will involve the development of advanced micro- and nanofabrication processes based on Silicon-On-Insulator
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laboratory and cleanroom facilities. • Spearhead innovation toward emerging applications in 2D quantum photonics and light-based neuromorphic computing. • Mentor and guide PhD students and interns, fostering a