197 phd-neural-computation Postdoctoral research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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Chemistry and Engineering attracting highly talented researchers under transparent governance. ACER CoE encourages excellence in research and inter-program synergy and is instrumental in updating the research
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research interests in sedimentary geochemistry, sedimentology, and georesources. The successful candidate will contribute to a multidisciplinary research program aiming to advance our understanding
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) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
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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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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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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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, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Genomics and Bioinformatics. We
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foundation program at Mohammed VI Polytechnic University in Benguerir, Morocco. The candidate will play a vital role in advancing research related to the development of new NP, PK and NPK fertilizer formulas
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, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial