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resources may be provided by the Jean-Zay supercomputer. Large language models (LLMs) and deep contextual embeddings (i.e., BERT and its variants) are trained on large corpora, usually extracted from various
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, studies, etc.) in France (the country of the host organisation) for more than 12 months in the 3 years immediately before the recruitment date (i.e., the start of employment). Eligibility conditions
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://mlq.quantumexcellence.org The following hiring conditions apply: • All researchers recruited in MLQ must be doctoral candidates (i.e. not already in possession of a doctoral degree at the date of the recruitment
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of economically viable elements (i.e., He, H) within geothermal systems. Supervisors: Raphaël Pik (CNRS – Université de Lorraine, [email protected] ), David Bekaert (Université de Lorraine) Co
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
of energy networks and the electrification of new usages that results in increasing demand by consumers (i.e. electric vehicles charging). Furthermore, the integration of high shares of renewables (wind
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, with conversion losses of the order of 1% in the THz range, i.e. only 10X less than electronic mixers [3]. It is therefore possible today to imagine a very broadband (0-1 THz) spectrum and/or vector
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eligibility criteria: (1) All researchers recruited in a Doctoral Network must be Early-Stage Researchers (ESRs; i.e., be in the first four years (full-time equivalent research experience) of their research
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the incorporation of up-conversion nanoparticles (UCNPs) developed at Softmat. Thulium-doped UCNPs can convert near-infrared light (i.e. 800 nm) into blue light, spectrally matched to the O2 probe '[Ru(bathophen)3)]2
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examples of high performance embedded systems. The carbon impact of such systems is currently dominated by the embodied emissions, i.e. the greenhouse gas emissions of system fabrication [G21], but results
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interactions of semiconductor nano-sensors with their surrounding bio-molecular environment under the action of intense electromagnetic fields (i.e. lasers) for molecular recognition in medical applications