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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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. 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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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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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
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. 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 speed breeding
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. 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 speed breeding