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(CERM), you will play a key role on the CRC TiME 3.18 Project, developing hyperspectral and structural data libraries and advanced workflows to improve mine closure outcomes across northern Australia. You
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inputs. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5544-5555). [2] Darban, Z. Z., Webb, G. I., Pan, S., Aggarwal, C. C., & Salehi, M. (2025). CARLA: Self
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: Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations. Occasional weekend work and travel to mine sites may be required by
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extract events and mine knowledge from existing unstructured/structured data, and exploit the knowledge via neuro-symbolic reasoning for crime prevention (eg -sexual assaults), especially when there is no
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.
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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
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School of Mechanical and Mining Engineering – Faculty of EAIT Full-time (100%), fixed-term position for up to 12 months Base salary will be in the range $95,361.62 - $102,302.92 + 17% Superannuation
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techniques in bacterial genomics, including both short- (Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine for a long time