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Assistant Lecturer/ Lecturer (Continuing Defined Periods Academic Employment) - Department of Econometrics and Business Statistics Job No.: 687217 Location: Various campus locations Employment Type
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of statistical signal processing, inference, machine learning and dynamical systems theory to develop new semi-analtyical filtering approaches for state and parameter estimation to infer neurophysiological
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Statistical Methods, Automated Planning and/or Reinforcement Learning.
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economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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a collaborative research team using large-scale Australian data and modern statistical methods to produce credible evidence on these issues. The project provides an opportunity to contribute crucial
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-Response Discovery Establishing frameworks and parameters around Value-Based Digital Health Implementation Challenges in AI for Pathology Optimal Design of Control Charts for Enhanced Statistical Process
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness tool . For full information on eligibility and English