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allocation, Machine learning, Wireless communication. The successful candidate will be employed by Mohammed VI Polytechnic University (UM6P) based at Benguerir (50 km north of Marrakech), Morocco. Applications
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at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD
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facilitate decisions. Required qualifications PhD degree in Computer Science, Bioinformatics, Machine Learning, or equivalent degree Advanced Know-How in the fields of Data engineering, Machine Learning and
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Job Type: Full-time, PhD program (x4 years of funding) Number of positions: 4 The School of Collective Intelligence (SCI) - Mohammed IV Polytechnic University (UM6P, Morocco), is seeking highly
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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and Research: The professor will develop research activities in several aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine learning, operating
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Assist Prof in Next-Generation Approaches of Remote Sensing for Applications to digital soil mapping
spectroscopy for multi-scale soil fertility mapping and assessment, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML
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Assist. Prof in Next-Generation Approaches of Remote Sensing for Applications to Digital Agriculture
crop growth and yield, Develop hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and
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at the scientist/professor level depending on the CV and past experience of the successful candidate. The candidate is expected to combine machine learning and geosciences to develop innovative research related
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’ application. An indoor system with (i) the phenotyping machines, "PhenoMerzouga.v2", which is a small-scale lysimetric system for simulating climate change scenarios, and (ii) 150 m² of growth chambers and