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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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23 Feb 2026 Job Information Organisation/Company Université côte d'azur Department ICN Research Field Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Established
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20 Feb 2026 Job Information Organisation/Company Ecole Centrale de Lyon Research Field Chemistry Engineering Computer science Researcher Profile First Stage Researcher (R1) Positions Master
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to apply Website https://phd-at-tec21.sciencescall.org/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Additional Information Website for additional job
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to the user [Month 28– 36]. Expected Results Systematic classification and characterization of data available in farming practice. With the possible help of a master student, a polystore multi-model approach
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PROFILE: PhD/ R1: First stage Researcher RESEARCH FIELD(S)1: Engineering MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Engineering JOB /OFFER DESCRIPTION The widespread use of plastic materials has led to a
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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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aging reactors and to promote innovation for new nuclear power plants. The main innovative approaches rely on reliable predictions integrating multiphysics-multiscale calculations and data-driven models