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electricity, industry, transport, and exports. CSIRO is playing a pivotal role in this shift, delivering reliable, evidence-based research to support the development of resilient and efficient energy systems
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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for Robotic and Autonomous Perception This project aims to make robotic perception systems safer and more reliable by developing new techniques that continuously monitor the performance of their machine
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to these various dangers, to inform the design of, and test, mathematical models that will be generally applicable across a larger cross-section of important species of bacteria. Modelling Evolution – Predicting
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
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, education, or a range of other themes, developed in consultation with your supervisor. Benefits of the scholarship a La Trobe Research Scholarship for three and a half years, with a value of $35,000 per annum
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development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options About You
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple