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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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largely opaque to computational analysis, into a transparent phenomenon from which selected features can be captured and rendered visible for the purposes of professional development for teachers. Depending
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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship
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PhD Research Scholarships provide an annual stipend of $5,000. Number offered Two scholarships per year (subject to suitable applicants): one in the Humanities and Social Sciences (HASS) disciplines
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vibrant student community in Prato. This position will be responsible for supporting all aspects of student wellbeing and program operations, including acting as the first point of contact for health
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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accreditation standards is essential, along with strategic leadership in the HDR program to attract and guide exceptional research students. In addition, the successful candidate will provide strategic and
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campus Time Commitment: Up to 10 meetings per year; 3-5 hours per meeting, plus additional time for pre-reading Contact:animal.ethics@monash.edu Monash University’s School of Biological Sciences Animal
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of the Department of Medical Imaging and Radiation Sciences (DMIRS), you will collaborate with fellow academics and researchers to strengthen the department’s clinical and applied research capacity. We