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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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. Testing the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate
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from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and
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of machine learning. develop novel machine learning algorithms primarily for representation learning, dimensionality reduction, clustering and search. conduct theoretical and experimental performance analyses
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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. The project requires the following skills: Familiarity with fertilizer formulation processes
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different backgrounds. The project requires the following skills: Familiarity with fertilizer formulation processes and technologies like, granulation and encapsulation to create specialized fertilizers
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on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job Description The successful