562 computational-physics "https:" "https:" "https:" "https:" "University of Kent" uni jobs at Monash University
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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
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Diabetes can be effectively controlled by maintaining a healthy diet, well-managed blood glucose level and regular physical activity. Evidence suggests that improving dietary habits can play a
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, delivery, governance and reporting. A key focus of this role is serving as Program Manager for the MRFF-funded CALIPSO trial, while also contributing to the coordination and expansion of other national and
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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention strategies using hybrid quantum-classical approaches. While current learning analytics systems rely on...
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Content Coordinator - Digital & Online Media and play a vital role in supporting our mission. Headquartered at Monash University, the Centre is a transdisciplinary, multi-stakeholder program aiming
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connection to the region – socially, economically and culturally. The program is designed to ease the full cost of study for international students – combining tuition support, travel and relocation assistance
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prediction). O3: Joint OOD detection + AL: Combine selection with OOD filtering/triage policies that decide what to label, what to defer, and what to reject. O4: Human- and compute-aware AL: Incorporate
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object