222 phd-use-of-3d-printing-technology-in-instructional-design Postdoctoral positions in Morocco
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. This role provides an excellent opportunity to contribute to advancing renewable materials research. Key duties: Design and execute experiments to optimize fractionation and extraction processes from diverse
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institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique
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for boron and potassium will be included for the next plantation cycle (of 6-7 years). The primary objectives of the postodoctoral work at this site will be to use existing infrastructure and additional
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separation process to validate the selection of the appropriate design for treating, concentrating, and purifying the matrices under investigation. Job Description: The position is open to candidates with a
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Location: School of Architecture, Planning and Design (SAP+D), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco Contract Type: Full-time, Fixed-term (24 months) Start Date: As soon as
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an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable
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force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a platform for experimentation and a pool of opportunities, for students, professors
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force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a platform for experimentation and a pool of opportunities, for students, professors
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. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph