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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
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Knowledge of manual handling techniques Strong customer service skills Excellent communication and computer skills including MS Office, relevant software Working with databases and information management
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comfortable with a range of computer programs and childcare-specific software. You are committed to ongoing professional learning and demonstrate integrity, reliability, and a strong sense of responsibility in
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code for the analysis of data from physics and/or astrophysics experiments Demonstrated ability to conduct independent research in addition to working effectively as a member of a research team A
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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awardee. The Opportunity Generative artificial intelligence is a significant and highly visible use of machine learning which has become commonplace in a matter of a few short years. Without common
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environments including practical experience within a range of engineering and manufacturing technologies including both CNC and manual machining, electrical, hydraulics, woodwork, composites and metal
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CNC and manual machining, electrical, hydraulics, woodwork, composites and metal fabrication. Shift Work Requirement This role includes shift work to provide oversight and support during extended
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Job no:517429 Work type:Continuing - Full-time Campus:Adelaide Categories:HEO5, Learning, Enhancement and Innovation (HEO5) $82,922-$92,203 per annum plus an employer contribution of 17