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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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Join a highly motivated, experienced, and enthusiastic team designing and developing high quality learning experiences or students. Collaborative, innovative and supportive work environment. The position
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Gadigal/Wangal people as the traditional custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay
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ambitions through best practice marketing, the generation of international opportunities, and the forging of deep industry, media and alumni connections. Learn more at: https://www.adelaide.edu.au/external
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, and compliance. You’ll deliver high-quality services in budgeting, forecasting, analysis, and reporting, acting as a trusted advisor who balances technical expertise with a deep understanding of
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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. Strategic and financial acumen, with the ability to lead complex organisations. Exceptional communication, negotiation and stakeholder engagement skills. Deep understanding of research governance, ethics
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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and