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of Versailles Saint-Quentin -UVSQ. The LSCE hosts approximately 300 researchers, engineers and administrative staff including many PhD and master’s students. This project will provide the employee with
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and beyond. Supervise graduate and undergraduate students. Contribute to teaching activities or other transversal training. Disseminate research outcomes through participation in scientific events and
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mentor MSc and PhD students involved in related research activities, providing guidance in experimental design, data analysis, and manuscript preparation. Contribute to grant writing, proposal development
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research and teaching are required all with the ability to professional engagement with a diverse faculty, staff, and students across the university and externally are required. Good English communication
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validation to support model accuracy. Publish research findings in peer-reviewed journals and present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote
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present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
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record in leading international and well ranked journals An experience in supervising of Master and/or PhD students Motivated self-starter with ability to work both independently and collaboratively as
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an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical
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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply
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guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional