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are looking for a motivated and capable researcher who is eager to grow into this opportunity. The selection panel will use the following criteria: Familiarity with crop simulation models (e.g. APSIM, DSSAT
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process. Closing date 15 February 2026 Further information Further information about this scholarship can be obtained by emailing Janet Wade at hdrinternational@unisq.edu.au . This partnership between UniSQ
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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