69 computer-security-"https:"-"https:"-"https:"-"https:"-"CUBO" research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY
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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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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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science, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
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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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progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in
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. This position will contribute to the next generation of LFP-based batteries, improving their safety, efficiency, and overall performance for sustainable energy storage solutions. Job Description: The successful
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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks
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of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in
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collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual