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Postdoctoral Research Fellow to join School of Chemistry and Physics, Faculty of Science. We are looking for a motivated postdoc with a strong experimental background in chemistry and materials to develop stable
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engineering and data analytics projects. Key responsibilities include: Developing algorithms and performing advanced numerical analyses. Designing and implementing data collection, analysis, and condition
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Australia. Your role will be to develop data processing algorithms based on radio astronomy techniques, as part of the SSA team, and assist in implementing them in the operational setting of the Curtin/Nova
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outside of our regular hours of 7am – 6pm Monday to Friday. What you’ll do: Perform cleaning duties in all buildings, including but not limited to floors, walls, toilets, showers, kitchens. Distribution and
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the given non-classical logic. The proof of the claim contains an algorithm for deciding whether an arbitrary formula is true or else false! This proof can then be exported automatically to produce a formally
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
uncertainty for both in-distribution and out-of-distribution data. The Person We are seeking a highly motivated and enthusiastic researcher with an interest and capacity to develop and investigate models
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qualitative methods. Expertise about social media and hosted distribution services such as YouTube (specifically from a media studies perspective); knowledge about non-Australian media markets. Proven scholarly
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play a crucial part in ensuring the smooth operation of the area, providing essential support across various administrative functions. Key Responsibilities: Create, publish and distribute reports and
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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. With the widespread adoption of ML algorithms for data analysis and decision-making, preserving the privacy of individuals' data has become a paramount concern. The project focuses on exploring