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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
of a larger project that will integrate all the analytical data collected from Australian sphalerites. The Person We are looking for a qualified geochemist with analytical experience, particularly in
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Skills and Experience A PhD in a relevant discipline (e.g., artificial intelligence, data science, statistics, computer science, learning engineering, learning sciences, learning analytics, or educational
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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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: Level B, $113,934 – $134,824 p.a. plus 17% superannuation. About the area The Centre for Microscopy, Characterisation and Analysis (CMCA) is UWA’s core analytical facility. The CMCA’s mission is to enable
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: Level B, $113,934 – $134,824 p.a. plus 17% superannuation. About the area The Centre for Microscopy, Characterisation and Analysis (CMCA) is UWA’s core analytical facility. The CMCA’s mission is to enable
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track record of publications in top-tier venues such as SIGMOD, VLDB, ICML
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- $113,262 p.a. plus 17% super Advance cutting-edge research in econometrics and statistical modelling, contributing to the development of sophisticated analytical tools that enhance the understanding
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- $113,262 p.a. plus 17% super Advance cutting-edge research in econometrics and statistical modelling, contributing to the development of sophisticated analytical tools that enhance the understanding
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-Quality Data: Plan and execute analytical work accurately and reproducibly, meeting agreed timelines and milestones for mathematical modelling. Contribute to Scientific Output: Assist in preparing