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environmental research effort. TERN coordinates a nationally distributed set of instrumentation that contribute to data and information services that help to meet the needs of terrestrial and coastal ecosystem
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Indigenous Australian knowledge, but it also speaks to the mission of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet
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queries, and automating data transformations. By combining advancements in natural language understanding, algorithm synthesis, and debugging, the proposed framework will enable developers to efficiently
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algorithm that allows accurate simulation of fluid transport processes in porous media coupled with chemical reactions (e.g. dissolution and precipitation). The algorithm will be validated firstly against
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to older residents. In collaboration with our industry partner, creator of companion robots that positively impact people’s lives, in this exciting project, you will investigate and develop novel algorithms
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hypergraph models of data, data complexity, structural properties of graph and hypergraph classes, algorithmic consequences, and applications. As such, the successful candidate must either have a good
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of TERN data. About TERN TERN is an Australian Government initiative to enhance Australia’s environmental research effort. TERN coordinates a nationally distributed set of instrumentation that contribute
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the preparation of agendas and accurate recording and distribution of meeting minutes. Role-specific Enquiries: Melroy Rodrigues via melroy.rodrigues@mq.edu.au Applications Close: Friday 27th June 2025, 11:59 pm
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processing algorithms (desirable). Electronics design skills using Altium (desirable). About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science
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scoring framework to establish sophisticated classification algorithms that drive marketing and sales qualification motions and the necessary workflows that enable an automated lead management Advance