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/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire Avancé de Spectroscopie pour les Interactions, la Réactivité et l'EnvironnementCountryFranceCityVILLENEUVE D ASCQ Contact
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Language Processing, can be used to extract linguistic knowledge, particularly concerning tones. The main object of investigation will be the Yongning Na language (ISO code: NRU). This work, based on fine-tuning models
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-model particles like axion-like particles in the radio domain, through Galactic and extra-galactic observations. The student is expected to work at the interface between particle physics and radio
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using neural networks (DNNs). The PhD work will focus in particular on the prediction of extreme weather events and will use meteorological data bases provided by Météo-France [py4cast, 2025; Anemoi 2024
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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to assess the impact of climate change on crop yields and its influence on the transformation of agrarian economies and agrobiodiversity. WORK ENVIRONMENT - Full-time position. Work locations: National Museum
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and IT, to develop techniques for planning the work of Agri robots, scheduling their tasks, deploying IoT devices in fields as well as for collecting, integrating, storing, analysing, building
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through migration and morphogens release in long range-patterning of cortical regions. However, their developmental origins and the molecular mechanisms underlying CR function in humans remain poorly
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methodical, rigorous, reactive, and attentive, with a strong work ethic and high integrity. He/she will already have experience with human stem cells, neuronal differentiation, as well as 3D culture, organoids
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. Familiarity with single-cell data and experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in