47 bayesian-inference-tracking Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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. Proven track record of high-quality research and publications. Solid programming and modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum
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communication, quantum cryptography, machine learning for communications, information theory, or securwireless/optical systems. Proven track record of high-quality research and publications. Solid programming and
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communication skills in English and French, both written and verbal. A track record of publication in well ranked journals. Established collaborations with renowned international researchers in the field
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. Track record of high-level scientific publications and presentations at international conferences. Commitment to research excellence. Interest in African development challenges. Entrepreneurial mindset
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remote sensing datasets for environmental applications. Experience with high-performance computing and analysis of large datasets; A good track record of published research in peer-reviewed scientific
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evaluate the performance of unit operations. Ability to carry out feasibility, cost, risk and opportunity assessment studies. A proven track record of research publications in reputable peer-reviewed
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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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nanofertilizers and their agronomic applications is highly desirable. Previous experience in industrial research projects is an asset. Good publication track record in peer-reviewed journals. Strong communication
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
development. Proficiency in biodiversity monitoring tools and plant growth tracking. Field experimentation skills and experience in ecological data collection and analysis. Demonstrated hands-on experience