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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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Food and Beverage Accelerator Program : Based at the School of Agriculture and Food Sustainability 2 x Full-time (100%), fixed-term positions for up to 2 years Base salary will be in the range
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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and trait association (including epiGWAS and predictive modelling), generating world-first insights that could transform how breeders enhance yield and resilience in sorghum, barley and wheat. Supported
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) 2 x Full-time (100%), fixed-term positions for up to 1.5 to 2 years Base salary
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research projects, scientific manuscripts and journal articles in cognitive neuroscience. Expertise in brain imaging data collection and analysis, computational modelling of behaviour, latent variable
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals