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Field: Mining Engineering, Industrial Engineering, Data Science Duration: 12 months, renewable once. Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible Context and Objectives
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) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain
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(PDF format): Cover Letter – Describe your research interests and alignment with data-driven decarbonization of mining equipment. Curriculum Vitae – Include publication list. Reference Contacts – Names
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to Apply Please submit the following (PDF format): Cover Letter (1–2 pages) outlining your fit for data-driven decarbonization of mining fleets. Curriculum Vitae, with a list of publications. References
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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, opportunities for conference participation. Application Procedure Application must include: A detailed CV A cover letter highlighting relevant experience A list of publications Contact information for 1–2
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cover letter indicating the position applied for. A detailed CV. Contact information of at last 3 references at the post-doc, (applicants are assumed to have obtained their references’ consent to be
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is
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the mails subject. The folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Contact information of 3 references (Applicants are assumed to have
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience