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I am seeking PhD candidates interested in designing and connecting Multimodal Learning Analytics solutions according to the pedagogical needs and contextual constraints of teamwork occurring across
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We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on. We can model these relationships
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including substantial research project, GPA 80%+ in Software Engineering or related area Bachelor with Honours or Masters by research degree in a related area. Desirable Refereed publications including
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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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