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in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in
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spectroscopy and TGA..etc. Required qualifications: The candidate must hold a PhD degree in Materials Science, Materials Chemistry, Inorganic chemistry, or related disciplines with strong experience in MOFs and
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expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data management, and other analytical techniques, including technical methods of extraction and analysis, is
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content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff
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yield under different abiotic stresses. Unravel the molecular mechanisms of plant microbe interactions using genomic and transcriptomic approaches at the rhizosphere level. Co-supervise master and PhD
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, analysis, interpretation, and presentation. Supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Additional responsibilities will include
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other training activities (if applicable) Criteria of the candidate: PhD in the field of plant-microbe interac ons, industrial microbiology, crop physiology or related fields. Strong publica on record in