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Selection Criteria. Please send us a cover letter (max 2 pages) that addresses your suitability for the role, along with a copy of your latest resume. Diversity is one of our greatest strengths at Monash. We
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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) Number offered Variable (Depending on funding) See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my achievement of publishing my first paper as
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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this role you will be trained to follow existing business processes to provide a range of professional and high-quality post-award administrative services, including: Responding to enquiries via phone and
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
academic referees Please send your EOI and any enquiries you may have to Dr Delvin Varghese, Department of Human-Centred Computing, Faculty of IT, Delvin.Varghese@monash.edu . The successful candidate will
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E....
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, preferably in a clinical research setting along with the ability to work independently and as part of a team. Attention to detail, high computer literacy and a commitment to confidentiality and research
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Access Inclusion and Success team as a Student Support Officer in the Peer Mentoring program. The Student Support Officer provides a range of administrative and support services for Peer Mentoring programs
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and