523 computer-science-intern "https:" "https:" "https:" "https:" "UNIVERSITY OF HELSINKI" uni jobs at Monash University
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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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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decision-making ? Elevate your career in economics with the Master of Applied Econometrics (with PhD pathway) scholarship. This prestigious opportunity is designed for aspiring professionals who seek
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of Physics and Astronomy. This is a rare opportunity to establish and grow a world-class research program at the heart of Monash’s growing research in nanoscience and technology. We are especially keen to
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Program. You will play a key role in developing and supporting interventions, collaborating with internal and external stakeholders, and supporting high-quality publications and competitive funding
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Stark and Geals Science Scholarship Achieving Potential Support Scholarship Allan and Pam (nee Geals) Stark graduated from Monash University during its first decade of student intakes. They believe
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
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goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
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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