64 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions 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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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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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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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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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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objective of CBS is to set up a distinctive research-teaching program of international level, to meet the research and teaching challenges of UM6P, in particular on green chemistry applied to all aspects
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foundation program at Mohammed VI Polytechnic University in Benguerir, Morocco. The candidate will play a vital role in advancing research related to the development of new NP, PK and NPK fertilizer formulas
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. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different research fields such as
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/experiments are captured in as comprehensive and timely manner as possible. Develop collaborative links with the core scientific personnel in related program areas to gain exposure to, and build knowledge