171 structural-engineering-"https:" "https:" "https:" "https:" "UCL" "UCL" Fellowship research jobs in Australia
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produced independently or collaboratively develop research collaborations and engage in translational research that results in knowledge or technology transfer leading to commercialisation, improved policy
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promotions process. About You Completion of a PhD in Materials Engineering, Chemical Engineering, or Electrochemistry. Proven expertise in developing functional materials for rechargeable battery technologies
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manage diverse research programs in energy, including chemical reaction engineering, thermodynamics, renewable fuels, waste valorisation, and energy storage. Lead and supervise research teams, secure
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academic and industry partners. About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science and
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of sensing technology solutions Knowledge of feature engineering and the development of new spectral indices Proficiency in data analysis and visualisation tools using software environments like Python, Google
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opportunity for a Postdoctoral Research Fellow/Research Fellow, Applied AI for Forestry Weed Detection and Mapping to join our team at the College of Science and Engineering in the Academy Division. Full-time
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· engage with internal and external key stakeholders such as healthcare services, government bodies, technology vendors, and research partners · apply and maintain working knowledge of health
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remote regions, Aboriginal and Torres Strait Islander peoples, and other underserved communities. Current health systems are not adequately structured to address this challenge in a coordinated, equitable
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ecology and remote sensing research focused on vegetation structure, including coordinating field campaigns, processing and analysing LiDAR and UAV data, producing high-quality research outputs, securing
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physiology and medicine to contribute to research strategy measure physiological and structural variables within cardiovascular and related functions, managing and analysing data, statistical analysis