104 cognitive-radio Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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background in veterinary medicine, epidemiology, animal health management, or diagnostics. Requirement Strong analytical skills in veterinary research. Knowledge of statistical analysis and experimental design
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activities to share knowledge and contribute to the academic mission of the institution, up to no more than 20% of working hours. Skills in utilizing artificial intelligence for materials design will be highly
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design, or related fields Good knowledge of cell biological and molecular biological methods Experience in bioinformatics tools related to proteomics and drug design. Aptitude for teamwork, problem-solving
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Engineering, Materials Science, or a related discipline. Extensive knowledge of phosphoric acid production processes (wet-process, thermal process, or others). Proficiency in characterization techniques such as
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. Proven experience in organic synthesis, particularly in organophosphorus chemistry. Knowledge of catalysis and C-C bond formation methodologies is a plus. Ability to work independently and within a
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and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release
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-ranked journals Significant knowledge in environmental science studies, including experienced in soil field work and abilities in isotopic geochemistry techniques and modeling capabilities. Excellent
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running