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business model. About Entity (Hiring entity): The African Genome Center (www.agc.um6p.ma ), is a multidisciplinary research entity dedicated to advancing genomics and systems biology approaches to address
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at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): The Chair of Transitions at the Institute of Advanced Studies develops interdisciplinary and
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thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About ASARI
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the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between
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the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy
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business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in
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places research and innovation at the heart of its educational project as a driving force of a business model. It focuses on applied research and innovation both in Morocco and Africa. The university is a
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage