202 optimization-nonlinear-functions-"Prof" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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, technology and information on soil suitability, land use and fertilizer development, which can be accessible to the various African stakeholders viz., farmers, universities, research institutions, policy
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with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a
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research programs run as start-ups. OCP group (http://www.ocpgroup.ma/en/home ), a world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required
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collaboration with external institutions to develop up-to-date science at the continent level and address real challenges. All our programs run as start-ups and can self-organize when they reach a critical mass
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conditions, require innovative solutions to overcome the challenges posed by climate change and resource scarcity. As part of this initiative, ASARI has reviewed and published a selection of crop species with
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record in leading international and well ranked journals An experience in supervising of Master and/or PhD students Motivated self-starter with ability to work both independently and collaboratively as
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources
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characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation