71 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions at CNRS in France
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of sorption phenomena in these systems. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5253-PHITRE-003/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree
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on the interaction between human cognition and language—understood as a cognitive entity, a means of communication, an object of learning and lifelong development, and a sociocultural phenomenon. Mission : Background
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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specialist for the formulation of model soft media. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295-MATMAL-001/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster
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recommendation, at least one of which must be written by the supervisor of your Master's thesis. - Proof of your academic results in the form of official transcripts. Where to apply Website https://emploi.cnrs.fr
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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the Universities of Salzburg and Maastricht. One position includes an additional computational component, and the other a focus on transcranial brain stimulation. Where to apply Website https
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out