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Deputy Director, Supply Chain Risk and Governance Job No.: 696467 Location: Mulgrave Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $191,131 pa Level 10A (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive,...
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a doctorate, in psychology, psychometrics, (bio)statistics, public health, medical science, medicine, or a related field is preferred. Experience in manuscript preparation, ethics applications
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models for deployment in real-world driving scenarios. Required knowledge First-class bachelor’s honours or master’s degree in computer science, engineering, or a related field. Alternatively, second upper
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of Music (and Double Degrees) with a specialisation in any stream (Classical Music Performance, Composition and Music Technology, Jazz and Improvisation Performance, Popular Music) in the Sir Zelman Cowen
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/bxm117 D. L. Dowe (2011a), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness", Handbook of the Philosophy of Science - (HPS Volume 7) Philosophy
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Motorola Solutions Leap Scholarships Industry Leaders Scholarship The Motorola Solutions Leap Scholarships are designed to support students pursuing a Bachelor of Paramedicine (Honours) or a Master of Specialist Paramedic Practice. These scholarships aim to help equip the next generation of...
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Research Fellow in Clinical Neuroscience Job No.: 696350 Location: Alfred Campus Employment Type: Full-time Duration: Fixed-term appointment until 28 February 2027 Remuneration: $86,195 - $116,981 pa Level A / $123,138 - $146,228 pa Level B (plus 17% employer superannuation) Amplify your impact...
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PhD Studentship Description: The studentship will be based at Monash University Monash Medical AI Group led by Associate Professor Zongyuan Ge. The successful candidate will join a multi-disciplinary team of clinician scientists and computer scientists to develop...
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions and lack reliable mechanisms to quantify uncertainty. This limitation becomes particularly...
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Markov Decision Processes (MDPs) are frameworks used to model decision-making in situations where outcomes are partly random and partly under the control of a decision maker. While small MDPs are inherently interpretable for people, MDPs with thousands of states are difficult to understand by...