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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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, software-defined networking, and network automation technologies. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a
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planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally, student will apply sim-to-real adaptation strategies to generalize deep learning
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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Mitigation and Trust: How can interfaces and interaction systems reduce the likelihood of operator error while building trust in semi-automated diagnostic tools? Your research will include speculative design
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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Trusted Automated eXchange of Indicator Information (TAXII) Experience working with industry leading vulnerability management tools such as Qualys, ORCA among others with demonstrated understanding of MITRE