2,149 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Australia
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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study flow dynamics relevant to reactor design using optical diagnosing methods, followed by image processing, which may include machine learning-based techniques. This suits Mechanical Engineering
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OT students balancing fun and learning on placement in Atherton! Are You Interested in Going on Placement in North Queensland? Going Rural North offers nursing, midwifery, allied health, and
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, in‑forest sensor networks, machine learning and AI to generate advanced digital forest data and operational insights for the Australian forestry sector. You will co‑lead a multidisciplinary research
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warming. The bot will support students' self-regulated learning skills which were theorised to promote learning achievements and boost motivation. This research will unfold over the following 3 phases: 1
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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need. The Creed Family Learning Potential Fund
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are assessed against selection criteria. We allocate scholarships based on need. Students with the greatest need will receive the highest value scholarships. About the scholarship The Learning Potential Fund
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics
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the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need. The Schloman Family Learning Potential Fund