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individuals with a PhD degree from a recognized university and with substantial expertise in Machine Learning. Qualified candidates will be recruited according to their academic accomplishments
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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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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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hybrid approaches combining radiative transfer model and Next-Generation Approaches of Remote Sensing such as machine learning (ML) regression algorithms for timely and accurate estimation of important
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of Computer Vision. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a PhD
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of Computer Systems. A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to individuals with a