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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . Your role We are looking for a highly motivated PhD candidate interested in AI-based methods
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candidate will hold a PhD in geosciences, applied machine learning, data assimilation, or applied mathematics. The selection will be based on the following scientific and technical criteria: Experience in
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24 Dec 2025 Job Information Organisation/Company CNRS Department XLIM Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline
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27 Feb 2026 Job Information Organisation/Company Science me Up Research Field Technology » Information technology Computer science » Other Researcher Profile Recognised Researcher (R2) Established
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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role We are seeking a highly motivated PhD candidate to join the IAS Audacity project AI4TECS, which investigates how advanced AI techniques can enable real‑time identification and treatment of emerging
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scientific documents Degree, training and accreditation Degree : doctorate or PhD Field of study : Computational Mechanics LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers