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University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral 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
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and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health, data science applied to health or urban planning, smart urban systems, or a related field
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to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences
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: 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 of the candidate: PhD in the field
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wet chemistry and known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and
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Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as
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: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related
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under investigation. Job Description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral
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writing, conference presentations, and grant applications. Required Qualifications PhD in Microbiology, Immunology, Systems Biology, Bioinformatics, or a related discipline. Proven experience in microbiome