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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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of artificial intelligence and advanced hardware systems? An exciting opportunity has arisen to join the newly created Silicon Platforms Lab (SiP Lab) within the School of Engineering at Macquarie University
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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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the Resources section of our webpage for full eligibility details. For potential applicants in Science, Technology, Engineering, Maths, and Medicine (STEMM): The MQLF scheme is highly competitive and it is
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University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through
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general enquiries about the Scheme not covered by the Funding Guidelines, website or associated resources please contact: MQLF@mq.edu.au *** As part of the University's recruitment process, successful
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them About the Opportunity The Faculty of Engineering, within the Department of Materials Science and Engineering, is seeking a standout Research Fellow to join our team. In this role, you will play a
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promotions process. About You Completion of a PhD in Materials Engineering, Chemical Engineering, or Electrochemistry. Proven expertise in developing functional materials for rechargeable battery technologies
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research