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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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expertise in molecular biology techniques (nucleic acid extraction, PCR, RT-PCR, etc.). Proven experience in protein purification methods (FPLC/HPLC chromatography). Strong expertise in protein analysis tools
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-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate
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system for bacterial genomes using cutting-edge genomic language models. This project aims to adapt and extend transformer-based architectures to create a powerful tool for understanding and predicting
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decision-support tools for sustainable and inclusive urban environments. Key Responsibilities: Digital Tool Development:Develop digital tools to monitor and analyze the determinants of urban health using
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advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux
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of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and international users in water and food systems. Job Description: Over the past few years, advances in
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predictive tools to support system optimization and deployment strategies. Prepare high-quality scientific publications and contribute to the dissemination of research outcomes through leading journals
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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. A very good knowledge of statistical methods and tools. A good knowledge of Moroccan and North African climate and drivers is highly appreciated. Good communication skills, both verbal and written