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. Methods To make this pre-trained model, the student will script a virtual mouse model 13 to traverse through common behavioural apparatuses within a realistic simulation tool called Unreal Engine 14
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PhD Studentship Description: The studentship will be based at Monash University Monash Medical AI Group led by Associate Professor Zongyuan Ge . The successful candidate will join a multi
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law
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revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems. We received a prestigious best paper award at the SDM data
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/edges or the changes in the “normal” concept over time. Once we proposed relevant methods we intend to further extend the approach to be able to detect anomalies in high dimensional settings as the
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of policy conditions. The fellowship project is based on critical theories from fields like political economy and STS, alongside qualitative methods including document analysis and ethnography. Proposals
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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in nature, we seek to rapidly translate our research into real-world solutions to significant threats to community safety. PhD students will not directly handle this data as, in many cases, it is
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to achieve a useful digital twin); and instructional design (effective interactive visualisation and information overlay techniques to guide/instruct the user). The scope of the PhD will be narrowed
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the biological experiments are conducted. The intended departure point for this PhD project is to use reinforcement learning, a mainstream AI technique, to model task allocation mechanisms. #sustainability