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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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software frameworks, algorithms, robust testing and validation methods, and/or empirically validated solutions that contribute directly to social good, promoting trust, fairness, transparency, and
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proven record of relevant teaching experience in a tertiary environment, including experience in developing teaching materials. A deep understanding of contemporary pedagogies and methods is essential
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who is a Principal Research Scientist at CSIRO with expertise in risk-cobenefit assessment of net zero options for sustainability transitions using a range of knowledge sources and methods. Additional
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, and the majority of projects include a field-based component that can span across Australia, offshore non-jurisdiction islands, and various international regions. This is a great opportunity to
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pioneering teaching methods. To learn more about the School of Nursing and Midwifery at Monash . About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing
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research in digital sociology, ethnographic methods, and human-AI relationships. Your responsibilities will include: Conduct research, analysis, and publication targeting diverse audiences, including
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for a rewarding career in healthcare. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine
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In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees. Bee populations are threatened worldwide due to a number of factors
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, computer games) and a wide variety of solution methods have been proposed. Once a plan is computed, execution proceeds under the supervision of a human operator who is free to modify and adjust the plan