154 phd-rehabilitation-engineering-computer-science Postdoctoral positions in Morocco
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present your findings at scientific conferences. Experience and Qualifications: PhD in Agriculture, Environmental Science, Climate Change, or a closely related field. Strong background in agronomy, crop
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Institution: Mohammed VI Polytechnic University (UM6P) Department: Chemical and Biochemical Sciences - Green Process Engineering (CBS) Location: Benguerir/Jorf Lasfar, Morocco Duration: 12 months
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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Job Description We are seeking a highly motivated and skilled post-doc in in Chemistry, Materials Science or related fields to join our research team as postdoctoral researcher at the MAScIR
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additional funding for fieldwork. Qualifications: PhD in Oceanography, Environmental Sciences, Remote Sensing, or a related field. Strong expertise in satellite remote sensing, including atmospheric correction
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Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics, Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University
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, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Genomics and Bioinformatics. We
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communication. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong motivation and passion
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. Contribute to the supervision of Master’s and Ph.D students. Qualifications Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related
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, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute