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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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interactions in plant ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related disciplines. He/she should have
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PhD students and research assistants involved in the project. Provide training on experimental techniques, data analysis, and scientific writing. Requirements: Educational background: A Ph.D. in Plant
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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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. Criteria of the candidate: To be considered for this position, candidates should meet the following criteria: Recent PhD: Hold a Ph.D. earned within the last five years in Microbiology, Bioprocess
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evaluations carried out in the presence of crops. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials
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conclusions. Student Supervision: Play an active role in mentoring and supervising both graduate (MSc and PhD) and undergraduate students, fostering their academic and research growth. Teaching Contribution