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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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, operational feasibility, organising and running a workshop with drug-driving enforcement stakeholders, data integration across external sources, and cost-benefit modelling. In addition to the Sub-study 3
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imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary experience with projects that overlap
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. Experience in one of more of: advanced optical imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary
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pathways to global careers or postgraduate research. Details relating to the School/College Office may be found on at: www.rmit.edu.au/seh Please click the link below to learn more about RMIT's commitment
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relating to the School/College Office may be found on at: www.rmit.edu.au/seh Please click the link below to learn more about RMIT's commitment to improving female representation in STEMM - www.rmit.edu.au
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relating to the School/College Office may be found on at: www.rmit.edu.au/seh Please click the link below to learn more about RMIT’s commitment to improving female representation in STEMM – www.rmit.edu.au
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that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout
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wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Your
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Learning under the leadership of excellent researchers. About the role We are seeking two Research Assistants (Research Nurses) to take a leading role in participant recruitment, data collection, and follow