11 phd-computer-engineering Postdoctoral positions at Mohammed VI Polytechnic University
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of undergraduate and PhD students Qualification: • A PhD degree in physics, materials chemistry, engineering physics, materials science or similar with focus on semiconductor materials or solar cells, with a
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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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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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(Department of Chemical Engineering, Waterloo Institute for Nanotechnology). Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program
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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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AgroBioSciences (AgBS): The AgroBioSciences (AgBS) program is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical
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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
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(CAES) and AgroBiosciences Program (AgBS) at UM6P: The College of Agriculture and Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P
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practical-based research with a vision of solving real African agriculture challenges leveraging up to date science and technology. The AgroBioSciences (AgBS) program leverages up to date technologies in the
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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