501 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Monash University
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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value $21,500 Number offered Varies (Depend on funding) See details Bachelor of Computer Science Moksh Receiving a scholarship has been my motivation to study harder. It has also given me more confidence
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Dr Aunty Doris Paton Indigenous Accommodation Scholarship The Faculty of Medicine, Nursing and Health Sciences is offering the Dr Aunty Doris Paton Scholarship for Indigenous Students to support
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
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Performance Computing platform (MASSIVE) to do the experiments.
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remains underutilised and inconsistently effective. A key reason for this gap is the learner’s limited capacity to engage with feedback productively, a skill known as feedback literacy. Current approaches
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows