321 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions at Monash University
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traditional and advanced optimization techniques, including analytical models, simulation-based approaches, and data-driven algorithms. The research also considers practical constraints such as cost, process
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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-reported data. While informative, self-reported data can be susceptible to bias, poor memory, and incorrect self-assessment. This project will complement this self-reported measurement of feedback literacy
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/scholarships/scholarship-policy-and-procedures The Opportunity This PhD scholarship forms part of a collaborative research program on digital transformation, data practices, and everyday life in Indonesia
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions
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the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task to the observer. This Ph.D. project will provide a unified probabilistic and decision-theoretic
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and maintenance of information systems and digital services using a wide variety of tools and platforms, including but not limited to web, mobile, conversational AI and cloud infrastructure. This is a
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improvement of the system, coordination with the users and other key stakeholders (internal and external) to ensure data accuracy and system integrity, and ensuring the system meets the University’s strategic
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agreed service standards. The role coordinates and operationalises curriculum lifecycle activities including enquiry management, curriculum governance processes, data and reporting, publications and
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much