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Fellow in Plant Phenotyping and Image Analysis Duration: 3 years Location: Benguerir – Morocco Areas of research: Plant Phenotyping, Image Analysis, About UM6P: Mohammed VI Polytechnic University (UM6P
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multisource data (IoT, sensors, satellite images, social media, administrative data). Understanding of urban planning issues (urban forms, basic services, sustainability, resilience). Personal and
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can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue
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soil moisture Participate in field data collection and data analysis Satellite images processing Publish research findings in peer-reviewed journals and present results at conferences and workshops
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root ecosystem services for carbon sequestration, nutrient cycling and relevant microbial communities. This includes assaying root – soil chemical interactions and imaging for simulation of soil health
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. The selected candidate is expected to conduct fieldwork investigations, seismic interpretation, Image Log and core logging focused on structural geology of the Meskala basin. This will involve a thorough
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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scientists, agronomists, and remote sensing experts to ensure seamless integration of your models into the broader project framework. Maintain comprehensive documentation of methodologies, code, and results
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multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and
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-IoT system/network considering communication and data fusion requirements. Conduct a theoretical analysis of the developed designs. Develop simulations (writing code) to support the theoretical findings