33 mathematics-graph-theory positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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on propulsion systems for small satellites, with emphasis on chemical, electric, and green micro-propulsion systems. They will also teach propulsion theory and lab-based courses, and contribute to CubeSat mission
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-impact journals and conferences. Mentor students in related research projects. Qualifications : A Ph.D. (awarded or near completion) in applied mathematics, computer science, or a closely related field
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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to it): Philosophy and/or history of classical or modern Arabic physics Philosophy and/or history of classical or modern Arabic mathematics Philosophy and/or history of classical or modern Arabic logic
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa....
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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. Contribute to the supervision of master and PhD students. Qualifications: Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field. Strong background in land surface modeling
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development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug
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, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as a member of a team in a collaborative environment. Strong mathematical and analytical skills
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running