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the efficiency, reliability, and scalability of water harvesting technologies across different environmental conditions. Analyze material-system interactions, particularly the performance of adsorbents, thermal
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. Collaborate with interdisciplinary research teams within the department and with external partners to enhance research outcomes. Candidate Criteria PhD degree in Chemistry, with a specialization in inorganic
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of computational tools for process monitoring and predictive analysis Candidate Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in
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Criteria Applicants should have: A PhD in Process Engineering, Chemical Engineering, or a closely related field Strong expertise in process modeling, simulation, and systems analysis Experience with
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in international conferences. Supervise and mentor undergraduate/graduate students. Qualifications & requirements: PhD degree in Chemical Engineering, Process Engineering, Environmental Engineering, or
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-reviewed journals, present findings at conferences, and contribute to project reports and deliverables. Work closely with intersciplinary teams (agronomists, soil scientists, polymer chemists), supervise PhD
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controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c
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the dynamic of OM in the future global climate change by using Soil Organic Models. Mentor master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy
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: Ms. Yousra Moukadiri ([email protected] ) or Prof. Aziam Hasna ([email protected] ) Profile: Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, chemical
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Hasna ([email protected] ) Profile: Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, chemical engineering, materials science, or equivalent. Required hands