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become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It
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of complex physiological datasets. Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences. Contribute to supervision of graduate and undergraduate students
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verbal, to effectively engage with students, colleagues, and the broader scientific community Good publication track record in peer-reviewed journals. Application and Selection: The application folder must
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partners. Share research results through peer-reviewed publications, conference talks, and patent filings when relevant. Oversee graduate students and support capacity building in AI for CPSE at UM6P
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of undergraduate and graduate students. assist in writing research proposals. contribute to training and teaching activities, including the development of new courses. assist in the organization of workshops
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. Contribute to scientific publications and disseminate results to decision-makers and communities. Qualifications required PhD in one of the following fields: electronics and embedded systems
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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isolates. Conduct Bioinformatics analysis related to the generated data. Co-supervise master and doctoral student. Publish results in high impact factor journals. Education, qualifications, and experience
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of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer-reviewed journals and present results at national and international conferences. Mentor graduate students
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sustainability in materials science. Mentor graduate and undergraduate students involved in related projects. Criteria of the candidate: To be considered for this role, you will ideally have: A Ph.D. in Materials