238 parallel-and-distributed-computing-phd research jobs at MOHAMMED VI POLYTECHNIC UNIVERSITY
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the program, ensuring their professional growth while collectively meeting program milestones on schedule. Contribute to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively
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Host program: College of Agriculture and Environmental Sciences Duration: 2 years (CDD) Description The Mohammed VI Polytechnic University (UM6P) has an opening for post-doctoral fellow in the field
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. Criteria of the candidate: To be considered for this position, candidates should meet the following criteria: Recent PhD: Hold a Ph.D. earned within the last five years in Microbiology, Bioprocess
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Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level
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, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Research proposal writing
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory
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fertilizer recommendations and regenerative cropping systems in arid-saline conditions of Morocco. We seek a highly motivated candidate with a PhD from a recognized University who is passionate about
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Chemistry and Engineering attracting highly talented researchers under transparent governance. ACER CoE encourages excellence in research and inter-program synergy and is instrumental in updating the research
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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