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                , renewable energy, biomass, and waste valorization. Education A Ph.D. in Physics/Chemistry, Chemical Engineering, Process engineering or a related field. Requirement Strong knowledge in process engineering 
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                written communication skills Desirable: Working knowledge of statistics and database management Additional language skills, Arabic and French are desirable Supervisory experience Where to apply Website 
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                Processing, Mining Engineering, Georesources Engineering, or related field. Proven experience in ore characterization techniques (mechanical, mineralogical, physical). Solid knowledge of comminution 
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                of graduate students, development of teaching materials, Enthusiasm and passion toward solving challenging problems that require complex creative solutions; Very good knowledge and excellent experimental skills 
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                that require complex creative solutions; Very good knowledge and excellent experimental skills in preparation and characterization of organic/inorganic materials (NMR, XRD,GC-MS FTIR, SEM, TGA, ICP 
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                , telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and deployment of IoT solutions for environmental and energy applications. Solid knowledge 
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                with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and 
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                to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively participate in the creation of scientific research papers, reports, review articles, and oral presentations. Collaborate 
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                the program, ensuring their professional growth while collectively meeting program milestones on schedule. Contribute to scientific knowledge dissemination by publishing in peer-reviewed journals, and actively 
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                -based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation