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be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. For further information, please contact
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team to write scientific reports, prepare research publications, and effectively communicate results and data analysis in both French and English. Candidate Criteria Ph.D. in Chemistry, Organic Chemistry
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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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. 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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both as part of a team and to work independently. Application and selection The application folder must contain: A cover letter setting out the candidate's motivation in relation to this job profile. A
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, both verbal and written are important. Ability to work both as part of a team and to work independently. Application and selection The application folder must contain: A cover letter setting out the
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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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, 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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(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