123 phd-in-building-materials Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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applications, including fine chemistry, catalysis, agriculture, and life science. For instance, phosphorus-based chemicals are essential in hydrometallurgy, ceramics, and serve as building blocks for RNA and DNA
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master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy, Soils Sciences with hands-on the dynamic of Organic Matter in the soils, or Soil
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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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-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes for treating and valorizing radioactive industrial waste. Cross-Functional Skills
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. Mentor graduate students and participate in capacity-building activities within the research team. Required Qualifications: Ph.D. in Chemistry, Computational Chemistry, Cheminformatics, Computer Science
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NMR, mass spectrometry, SEM, XRD HPLC…..) to characterize the chemical and physical properties of phosphate materials. Ensure that all research activities align with principles of sustainability
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for 1 year based on performance and funding availability. Start Date: as soon as possible. Application Instructions: Applicants should submit the following materials in a single PDF document: A cover
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platforms. To Apply: Please submit the following materials Cover letter outlining your research interests and experience. Curriculum vitae (CV) including a list of publications. A brief research statement
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networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with