99 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and
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, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs. Description: Mohammed VI Polytechnic University invites applications for a Post-Doctoral Research
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, pedology). Demonstrated experience in advanced digital soil mapping and remote sensing. Experience with handling large geospatial dataset using High performance computing (HPC) Advances programming (e.g
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for applications in agriculture as well as domestic and industrial use. The program focuses on the efficient use of solar, wind and marine energy and the development of new approaches for the production of green
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). Knowledge and familiarity of analytical techniques necessary for structural using GC/LC-MS analysis. Experience in molecular biology techniques: PCR, RT-PCR and Biochemistry methods such as colorimetric and
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Job Summary MAScIR-UM6P is seeking a highly motivated and experienced postdoctoral researcher to join our team in the study of seaweed biology and its valorization. The position focuses
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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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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running