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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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: We are looking for researchers with a strong technical background and a passion for space exploration and autonomous systems. Key attributes include: a PhD in Mechatronics, Computer Science or a
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University of Western Sydney | The University Of Sydney, New South Wales | Australia | about 1 month ago
, electronic and software engineering. The Institute consists of three Research Areas - the International Centre for Neuromorphic Systems, Brain Sciences, and Biomedical and Human Technologies. The Postdoctoral
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optimization, and covalent drug design. Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AI–quantum hybrid platforms
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about environmental science and ready to take the
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outcomes through conferences, seminars, and public engagement. This is a unique opportunity to contribute to a nationally significant research program with real-world impact. If you are passionate about
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-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing