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. Position Announcement Job Title: Post-Doc in Extractive Metallurgy Area of specialization: Hydro/Pyro-Metallurgy Place: UM6P – MSN Department – Metallurgy Team Contact: Pr. Johan Jacquemin: johan.jacquemin
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About UM6P and its College of Computing: Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African
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around research and innovation at the service of education and development. The UM6P College of Computing, a central component of UM6P, seeks to set up an unprecedented research-education program, of
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About UM6P and its College of Computing: Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African
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ABOUT MOHAMMED VI POLYTECHNIC UNIVERSITY (UM6P): Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with international standards, is established to contribute to the development of Morocco and the African...
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Employer: MOHAMMED VI POLYTECHNIC UNIVERSITY Location: Morocco (MA) Closing date: 15 Aug 2025 Academic Discipline: Engineering & Technology , Chemical Engineering Job Type: Academic Posts , Postdocs
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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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Job/Project description: The College of Computing at Mohamed VI Polytechnic University (UM6P), Benguerir, Morocco is seeking applications for a Postdoctoral Research position with a research focus
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. Fluency in English and a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary
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devices, and Terahertz Technology. With this posting, the IAP at the Mohammed VI Polytechnic University seeks new faculty specializing in 2D / quantum devices accelerated discovery through computational