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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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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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of polymer characterization techniques (e.g., FTIR, NMR, SEC, TGA, DSC, SEM, XRD, BET, UV–Vis, ICP-OES/MS, or related analytical methods). Experience with ion-exchange polymeric resin synthesis, green
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databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials
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. Demand forecasting models. Evidence-based marketing recommendations. Research Methodology The selected candidate is expected to employ advanced mixed-method approaches including Quantitative Methods
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of funding proposals and coordination with partners. Criteria/skills of the candidate: PhD in atmospheric or agriculture sciences or a closely related field. A very good knowledge of Moroccan (African) climate
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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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of different P-based materials via the sol-gel and solvothermal methods with control over morphology, particle size, and composition. Material characterization using XRD, SEM, EDS, ICP, BET, TGA, FTIR, RAMAN
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chemistry of materials, materials science, electrochemistry, materials synthesis and battery research. Key responsibilities: Synthesis of different P-based materials via the sol-gel and solvothermal methods
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Requirements: The successful candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods