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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured in diverse, real-world environments. Both classical machine learning methods and deep learning...
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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standards in animal care. We are looking for candidates who have completed or are working towards a Diploma of Applied Science (Animal Technology) with relevant experience. A passion for animal care, strong
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. Enquiries: Ms Samantha Lipscombe, Projects and Partnerships Manager, Monash Energy Institute, Faculty of Business and Economics, Samantha.Lipscombe@monash.edu Position Description: Manager, Projects and
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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, Gholamreza Haffari Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [2] Learning How
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Lecturer educator and Indigenous ally to lead transformative curriculum design and champion culturally informed teaching across the Faculty of Medicine, Nursing and Health Sciences. This is a unique
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data