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across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3 , N2 O, CO2 , CH4 ) using satellite observations, atmospheric
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characterization techniques (e.g., HPLC, GC-MS, SEM, TEM, BET …). Write scientific reports, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical
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on designing and development of materials for gas storage applications, gas/vapor/liquid separation purification, sensing and/or waste transformation/energy efficiency. Other duties include advising graduate
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utilized in MOF synthesis. The material synthesis will involve wet chemistry and other well-established solid-state methods. Required qualifications: The candidate must hold a PhD degree in Materials Science
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have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related disciplines
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teach undergraduate and/or graduate students on marine biology, seaweeds cultivation, and aquaculture, as well as special courses related to the candidate's specialization. Supervise M.Sc. and PhD
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programming / package development, Co-supervise PhD and undergraduate students. Be engaged in technology transfer. Criteria of the candidate: Qualified applicants should have the following skills: Ph.D. in soil
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics
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, collection, analysis, interpretation, and presentation. Supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Additional responsibilities
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interdisciplinary collaboration with researchers, institutions, and stakeholders Candidate Profile Required Qualifications PhD in Remote Sensing, Geospatial Sciences, Environmental Science, Climate Science, Data