130 parallel-and-distributed-computing-phd-"Meta"-"Meta" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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-economic environment in Morocco and Africa. HTMR provides highly automated and parallel approaches to the development of new materials and processes. HTMR allows scientists from all UM6P research community
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recently completed (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
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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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publications and contribution to collaborative proposals. Support of graduate student mentorship and lab coordination. Required Qualifications & Experience PhD in Materials Chemistry, Extractive Metallurgy
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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to scientific publications and project reporting Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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functional digital twin environment. Contribute to industrial validations, results presentations, and scientific publications. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Applied
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R