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model behavior. · Model Safety & Robustness: Explore machine learning safety techniques, including model steering, to ensure grid security models behave predictably under distribution shifts or
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, artificial intelligence, mathematics and statistics, robotics, plant sciences, machine learning, chemistry and chemical engineering, biology and molecular biology, engineering, physics / nuclear physics
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. Publish findings at the intersection of AI, perception, XR, and universal design. We are looking for a candidate who: has a strong background in machine learning, computational perception, XR, HCI
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for New Zealand Citizens or Permanent Residents enrolled in honours or masters level study in mathematics, statistics, machine learning, or science that will establish eligibility for PhD study