407 parallel-computing-numerical-methods-"DTU" positions at Monash University in Australia
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and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant
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their customers' data and providing legal mechanisms for customers to access and control such data, the same cannot be said for data collected in research studies. Numerous problems abound, including low levels
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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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the opportunity to explore groundbreaking disciplines in physical, biological, biomedical, environmental, and computer sciences. With a globally recognized research reputation, our faculty pushes the boundaries
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include: the evaluation of an existing health prevention program, the development of a measurement tool for health inequalities, behavioural experiments to assess how preventative interventions can improve
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to join our passionate team in Gippsland. In this role, you’ll play a key part in coordinating and delivering clinical teaching within our Year 4C Psychiatry program as part of Monash University BMedSci/MD
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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
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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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leading research in this area and has designed some of the most efficient methods to solve MAPF. Companies like Amazon have funded the optimisation group at Monash to do research on MAPF as it relies