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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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of global aerosol emissions using large ensemble data from RAMIP and other data sources. Lead writing of peer-reviewed publications and present findings at scientific conferences. Contribute scientific
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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, or a related field. Strong research skills in clean energy, policy analysis or innovation studies. Experience with large-scale data analysis and project report writing. Good communication and
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, or geoscience. Scientific experience with biogeochemistry or related field Experience with big data', modeling or other computationally intensive approaches. Detail oriented with strong organizational and
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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, assessment of images, or assessment of memes. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidates will work on at least two related agent
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Physics Researcher Profile Recognised Researcher (R2) Established Researcher
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newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE