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, XRD, SEM, TGA, BET). Good Knowledge of agronomic tests and design of experiments (DOE). LCA basics Track record of publications in peer-reviewed journals. Strong analytical and problem-solving skills
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peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic
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in-depth knowledge in the synthesis, purification, and chemical characterization of organic compounds. Good experience in formulation chemistry Hands-on experience in liquid formulation
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optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards
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areas to gain exposure and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and implementation. Identify areas of improvement within
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
, or a related field. Experience in phytomanagement, plant ecology and biology, revegetation of degraded sites. Knowledge of moroccan or mediterranean native plants. Skills in plant propagation and
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geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework, or job experience. Proficiency
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): Knowledge of flotation processes, especially for industrial minerals such as phosphate. Familiarity with principles of green chemistry and renewable resources. Ability to design and carry out flotation tests
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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction