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Field
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convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics data. You will also develop explainable AI (XAI) techniques to link imaging
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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the control and stability of quantum operations. Using advanced Multiphysics simulation tools, the researcher will create models of the physical and control architecture, enabling the identification of design
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design, fabricate, and characterize 3D-printed scaffold architectures using a range of additive manufacturing technologies, including light-based (DLP) and extrusion-based (3D fiber deposition) approaches
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efforts relevant to wireless technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering
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join a welcoming, inclusive, and supportive team where diverse perspectives are valued and collaboration is at the heart of our success. Requirements You are holding a PhD degree in physics or comparable
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disruptive technology you plan to use? Please describe your proposed solution (e.g. AI architectures, etc.). Please describe your personal interest in tackling environmental sustainability challenges and