121 affective-computing-"https:"-"https:"-"https:"-"Brunel-University-London" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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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
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- 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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position in computational research in interface chemical reactions to join our research team focused on studying reaction mechanisms and materials. The ideal candidate will have a strong background in
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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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position is part of a collaborative research initiative between the Materials and Systems for Nanotechnologies (MSN) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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UM6P College of Computing: The College of Computing, with a campus in Rabat and a campus in Benguerir, is a central component of the University Mohammed VI Polytechnic (UM6P). The main goal
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AgroBioSciences Program (AgBS) College of Sustainable Agriculture & Environmental Sciences (CSAES) Mohammed VI Polytechnic University Host institution: Mohammed VI Polytechnic University is an
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of the candidate: PhD in the field of wireless communication, computer science, or any related field. Strong publication record in high impact conferences / journals. Aptitude for teamwork, problem solving, and
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progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in