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data. Apply knowledge in a way which develops new intellectual understanding. Contribute to developing new models, techniques and methods as required by their research project. Present research outputs
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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pharmacology and modeling strategies and building clinical pharmacology and pharmacometrics models to support dose selection at various stages of drug development. The Fellow will support the Clinical
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. This is a grant funded position. Key Responsibilities Designing and executing cutting-edge experiments using cell lines, ex vivo cultures, and genetic mouse models. Lead collaborative projects, contributing
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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of Oslo. Job description A fully funded PhD position is available on the development of spatiotemporal statistical modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian
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findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models
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administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance
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an employer contribution of 17% superannuation applies. Four Full Time Positions Available | 24 Months Fixed Term | Expected to commence February 2026. Be part of a world class, outcome-based research centre