631 assistant-professor-computer-science-data-"https:"-"https:" positions at Monash University
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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optimisation Large-scale data processing Intelligent and educational analytics Rather than replacing classical systems, the project will develop hybrid architectures where quantum components assist specific
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-RC research and registry activities — from protocol development, qualitative research and data interpretation to manuscript preparation and grant submissions. If you are ready to help shape research
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, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
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Emeritus Professor Codner Scholarship Achieving Potential Support Scholarship The Emeritus Professor Codner Scholarship has been established to provide support for commencing Faculty of Engineering
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on synthetic data generation for audio and the corresponding multimodal applications, such as mental health chatbots and digital assistants for negotiations. For most such applications, the key technical
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Associate Professor/ Professor and Head of Department - Occupational Therapy Job No.: 690588 Location: Peninsula campus Employment Type: Full-time Duration: Continuing appointment Remuneration
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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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