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. These properties make them excellent candidates for detecting various analytes in liquid media, including heavy metals, organic pollutants, biomolecules, and gases dissolved in water. The job vacancy involves
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ore characterization techniques (mechanical, mineralogical, physical). Solid knowledge of comminution technologies and mineral beneficiation processes. Strong analytical and problem-solving skills
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complex systems and identify optimal solutions. Strong analytical skills to translate complex data into actionable insights for research and decision-making. Experience working in multidisciplinary teams
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/ journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms
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English and ability to work in a team. Outstanding analytical and problem-solving skills. Employment terms: The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based
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: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
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through different analytical techniques including HPLC, GC-MS, Infrared gas analyzer…etc Familiar with the understanding of catalytic reaction mechanism by correlating the structural, textural features
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and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology
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Bachelor in Veterinary Medicine or a closely related field. A strong research background in veterinary medicine, epidemiology, animal health management, or diagnostics. Requirement Strong analytical skills
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/unknown secondary metabolites using advanced analytical tools. Proven experience in mastering cell culture/treatments/cell viability. Excellent skills in vitro biological assays (enzymes involved in skin