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of surface/interface engineering for cathode materials. Prior experience in co-supervision and mentoring of PhD/Master’s students. Competencies & Personal Qualities: Strong communication skills in English
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-level genomic data, enabling insights into the distribution and frequency of genetic variation, as well as the ecological, evolutionary, and demographic factors influencing population structure
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research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and
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for industrial implementation and Water-Energy-Materials nexus. Collaborate with suppliers, support staff, and other engineers, PhD students to plan and implement experiments related to the project. Set up testing
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, and demographic factors influencing population structure. The successful candidate is expected to have an outstanding publication record in population genomics or closely related fields. In addition
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from environmental samples, enabling insights into biodiversity, community structure, functional potential, and ecosystem processes. Experience in integrating multi-omics datasets and linking molecular
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of proposed solutions. Propose scalable solutions for industrial implementation and Water-Energy-Materials nexus. Collaborate with suppliers, support staff, and other engineers, PhD students to plan and
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Laayoune City and constitutes a structure of practical-based research with a vision of solving local, regional, and African agriculture challenges by leveraging up-to-date science and technology. Oriented
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Q1 publication. Selection Criteria The position is open to candidates holding a PhD degree in Geology, Earth Sciences, Geochemistry, Sedimentology, Mining/Georesources Engineering, or a closely related
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function, resilience, and sustainability. Applicants should demonstrate strong expertise in analyzing OMICS data generated from environmental samples, enabling insights into biodiversity, community structure