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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer
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Environmental Engineering Mechanical and Aerospace Engineering Electrical and Computer Systems Engineering Chemical and Biological Engineering Materials Science and Engineering About the Role We are seeking
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well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion to learn, and become a better leader. Am I eligible
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was Dean of the Faculty of Arts from 1999 to 2006. It celebrates the achievements of students who have overcome serious academic hardship and are eligible to enter the honours program. You will receive a
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Senior Software Engineer - FODMAP Job No.: 687387 Location: The Alfred Centre Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $124,343 - $137,251 pa HEW Level 08 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our...
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Monash Rural Health, overseeing budgets, external funding programs and financial reporting. This includes supporting major funding initiatives such as the Rural Health Multidisciplinary Training Program
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...