274 augmented-workers-using-smart-robats-in-manufacturing-cell PhD positions in Australia
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, using toxic molecular reactants rather than renewable electricity. One obvious solution toward integrating renewable electricity into chemical manufacturing is to electrify industrial organic reactions
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the youth residential care industry. This fully funded PhD scholarship offers the chance to work alongside leading researchers in residential care, systems thinking, and worker wellbeing at a world-class
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significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career. It also enables us to attract high-calibre people in all facets of our
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the design, development and trialing of defense mechanisms and approaches against the GAN attacks. This research will utilize infrastructure and expertise in smart grids, power systems and IOT in
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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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an international student, you will also receive a tuition fee sponsorship for your research degree. As the scholarship recipient, you will have the opportunity to work with a team of leading academic and industry
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have been awarded your PhD, your salary will be increased to Grade 7, spine point 31. This role is eligible for sponsorship under the skilled worker route. Commitment to Diversity The University
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ceramic fuel cells (PCFCs) have emerged as a forefront electricity generation technology to efficiently convert chemical energy into electricity with zero carbon emissions. In contrast to proton exchange
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augmentations such as project energy connect, Humelink, Marinus Link ETC Lack of available accurate generator and reinforcement models Protection and emergency control scheme modelling challenges. The research