213 software-formal-method-phd positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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Blockchain Key duties: The Postdoctoral researcher will be expected to: Publish in high impact journals in the field. Participate to the supervision of PhD students and research internships. Criteria
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Researcher in the field of Fungal Biotechnology and Biomass Valorization. Candidates should hold a PhD in fungal biotechnology, fungal genetics, or a related field. Ability to engage professionally with a
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propulsion systems. The candidate will conduct experimental research on hybrid/solid propulsion, payload deployment mechanisms, and micro-launcher development. Key qualifications: PhD in Aerospace; Physics
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: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline. Sound background in Catalysis Experience in process engineering including one of these areas: urea
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the field), analyze the collected data, and contribute to the dissemination of results through scientific publications, technical reports, and participation in innovative projects. Candidate Criteria PhD
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Otolaryngologists (ENT Specialists) Other medical specialties may also be considered Candidate Criteria Doctor of Medicine MD or MD/PhD Experience in teaching, at least three years of experience in the medical field
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organizations. Publish the results in peer-reviewed journals. Supervise Master and PhD students. Education PhD in formulation/coating science or related field from a recognized University Requirement At least 5
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Critical Zone Science Chair. Criteria of the candidate: PhD in environmental science, atmospheric science, or related fields from a recognized university. At least 2 years of postdoctoral research experience
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partners, Education, qualifications and experience PhD in the field of agronomy with specialization in quantitative genetics, genomics, molecular biology, and plant breeding, Good experience in genetics and
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning