11 phd-biostatistics Postdoctoral positions at Mohammed VI Polytechnic University in Morocco
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and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and international partners, MSN is emerging as a strong actor in the Moroccan materials
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. Support if required, the development of proposals for research funding. Candidate PROFILE : PhD in Organic Chemistry, Polymer Science, Materials Science, or related subject. Expertise in electrochemistry
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. Publish research findings in reputable journals and present at scientific conferences. Requirements: PhD in Chemical Engineering, Materials Science, or a related discipline. Extensive knowledge
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for candidates holding a PhD relating to crop protection, complete in the past five years. Experience in formulation technology and chemical characterization techniques, as well as a strong publication
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vitro and in vivo studies. Qualifications: PhD in Chemistry (organic chemistry, radical chemistry, photochemistry, catalysis), Chemical Engineering, Materials Science or related fields . Proven experience
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). - Expertise in design and very good programming skills (Python, Pytorch). - Excellent command of IT tools and perfect command of AI and Data Science tools. Profile required: - PhD in computer science
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greenhouse-emitted gases. Implement controlled and field experiments to measure GHG and trade-offs for nutrient efficiency. Mentor master students and PhDs Education, qualifications, and experience Applicants
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experiments. Analyze data and publish results in high-impact scientific journals. Mentor and supervise master and PhD students. Contribute to writing project grants and proposals as well establish
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of the Crop Improvement team, Contribution to establishing and/or maintaining collaboration with other research entities at SAES college, UM6P and external partners, Education, qualifications and experience PhD
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college, UM6P, and external partners, Education, qualifications and experience PhD in Agronomy, Environmental Science, Plant Science, Computer Science or related field, with a focus on crop modeling