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chemistry, or related disciplines with strong experience in MOFs and materials synthesis. Experience in catalysis and adsorption is also required. The candidate should have demonstrated experience in
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, synthesize, and characterize advanced materials for biomass conversion. Conduct experiments to evaluate the performance of these materials in various conversion processes. Investigate the mechanisms of biomass
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language processing. Experience with transformer-based architectures (e.g., BERT, GPT) is highly desirable. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with
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should have experience in carbonate chemistry, and reactor design or process development. A keen interest in circular economy solutions, sustainable gaz neutralisation, and industrial by-product
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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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to scientific publications and project reporting. Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline. Sound background in Catalysis Experience in process engineering including one of these areas: urea
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related to the characterization of odors sources and the associated chemicals. Candidate Profile: PhD in Environmental Science, Chemistry, Atmospheric Science, or related fields. Experience with air
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R