136 parallel-and-distributed-computing positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual
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disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and
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disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and
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disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and
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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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Polytechnic University aspires to leave its mark nationally, continentally, and globally. The College of Computing at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral
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, in the heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. The AgroBioSciences (AgBS) program is a component of the College
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to environmental temperature stress during early development stages. This research will involve high-throughput omics, physiological assays, and computational modeling to design and validate stress-priming protocols