15 software-defined-network-phd Fellowship positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment in
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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
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Researchers Funding amount: To be defined Hours: Full Time Placed On: 21/05/2025 Closes: Until Filled Reference: Application: Deadline: Until Filled Job Description: We are seeking a highly motivated candidate
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the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence factors, and mobile elements in microbiome datasets. Collaborate with clinical
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selected in accordance with this and expected to be in the upper segment of its class with respect to academic credentials. Candidate must hold a PhD in synthetic organic chemistry and must have: Clear
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. Ensure timely delivery of project milestones and deliverables. Mentorship and training: Supervise and mentor PhD students and research assistants involved in the project. Provide training on experimental
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from a recognized university. The candidate should demonstrate that their PhD work and past experience allow them to have a connection to one or several aspects of the areas of research mentioned above
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conclusions. Student Supervision: Play an active role in mentoring and supervising both graduate (MSc and PhD) and undergraduate students, fostering their academic and research growth. Teaching Contribution
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results and contribute to the writing of scientific articles. Candidate Profile: PhD in plant ecology, soil science, environmental science, or a related discipline. Proven experience in arid or degraded
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Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome research, particularly in gut microbiota. Experience with next-generation