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Research Fellow in Theoretical Condensed Matter Physics Job No.: 678798 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $80,464 - $109,203
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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Lipschitz Continuous Neural Networks to learn Lipschitz-bounded neural models
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at this time. Curtin reserves the right at its sole discretion to withdraw from the recruitment process, not to make an appointment, or to appoint by invitation, at any time. We reserve the right to remove the
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PhD Scholarship for The Impact of Future Human Values and Practices on Australia’s Net Zero and Digital Transitions Job No.: 679372 Location: Caulfield campus Employment Type: Full-time Duration
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This project is similar in flavour to the Conscious AI project but rather than come from a Philosophical/Neuroscience/Math/Theory angle, this project aims to build self-aware neural networks
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proven research experience in one of these areas: chemistry or physics material science and engineering solar cells. How to apply Apply for this scholarship at the same time you apply for admission
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with our communities to discover, create and innovate with sustainability at our core. THE ROLE The School of Mathematical and Physical Sciences is inviting expressions of interest for inclusion within
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to design better strategies to overcome barriers, build momentum for change, and accelerate adoption of net zero solutions. Opportunity and Supervisory Team The PhD opportunity is based at Monash Sustainable
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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an innovative and environmentally sustainable process of copper extraction from concentrates leaching using different glycine leaching systems. The expected outcomes from this project are not limited