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Field
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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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) for recent research and messages to prospective members. This postdoctoral project aims to secure the network infrastructure of distributed AI. The focus is on designing resilient architectures and protocols
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natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here Type of employment: Temporary position Contract type
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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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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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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and
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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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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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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