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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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qualitative data capture and analysis Ability to work independently and manage tasks with minimal supervision Strong organisational and analytical skills Excellent communication and collaboration skills
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Engineering » Chemical engineering Chemistry » Biochemistry Chemistry » Analytical chemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Australia Application Deadline 26 Jan
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Australian grain growers face increasing challenges from seasonal uncertainty, rising input costs, and climate variability. This PhD project offers a unique opportunity to be at the forefront
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Doctor of Philosophy (PhD) on Phase Transformations in Advanced Steel Design Scholarship Opportunities at Faculty of Engineering Job No: 685997 Location: Clayton campus Employment Type: Full-time
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are recruiting three PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible