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desalination. He/she should demonstrate experience in membrane processes, water quality analysis, and lab and pilot-scale testing of water treatment and desalination processes. Required qualifications
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of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis
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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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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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, 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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. Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative materials and production methods for prosthetic devices. Design and execute experiments to optimize
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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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at the HTMR, plays a pivotal link between the initial proof of concepts and the consolidation of the results and their viability. Thus, the validation is monitored through design of experiments and optimization
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covert, soil health and quality, soil health indictors, sustainable agriculture, field experiments monitoring. About UM6P: At the heart of the future Green City of Benguerir, Mohammed VI Polytechnic
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protein expression experiments using eukaryotic or prokaryotic systems (HEK293, CHO, E. coli, etc.). Applying and optimizing transfection methods (chemical, electroporation) or viral infection techniques