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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades
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to meet goals and objectives, including planning, resource allocation, communication, negotiation, stakeholder management, conducting post-project evaluations and reporting. High level of computer literacy
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, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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Investigators and key stakeholders to implement new and existing study protocols. Develop, implement and evaluate teaching plans for participants and their families/significant others that meet learning needs and
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customer service focus Are able to integrate well into a team Can be flexible, adaptable and proactive Love to learn Are competent using computer programs Wish to contribute to UniSA’s culture Benefits UniSA
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breeding optimisation. If you take pride in your interpersonal skills and your ability to apply expertise in statistical machine learning, we would love to hear from you. As the Research Scientist, you will
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learned through experience; or a range of management experience; or postgraduate qualifications (or progress towards) with extensive relevant experience; or an equivalent combination of relevant knowledge
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and control of windfarms For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, data-driven nonlinear model