132 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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skills in machine learning, deep learning, and advanced statistics for processing complex data. Urban Health Principles: Familiarity with urban planning principles centered on health (active mobility
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, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural
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component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City, in south of Morocco. Its vision is targeting real, local, regional, and African challenges in the fields
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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. Ability to write publications, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a
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of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software
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project calls. Participate in scientific publication and dissemination of results to policymakers and communities. Required Qualifications: PhD in geomatics, data science, computer science, urban
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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