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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
supervision, publication and publicity activities, code development, and collaboration with industry, open source, and academic partners. The project goal is to develop and demonstrate a stochastic design
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their professional development and ensuring adherence to best laboratory practices. Managing data collection, analysis, and interpretation with meticulous attention to detail, culminating in timely preparation
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of cool star high-energy environments at its core, developing a generalised framework for characterising time-resolved stellar spectral energy distributions, flare populations, and particle environments
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includes other career-enhancing work such as teaching and supervision of students. The aim of the position is for the successful candidate to develop a research profile and gain the qualifications required
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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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to the development of research strategies Publish results of own research Supervise PhD students Contribute to the Department/School through management/leadership Develop and make substantial contributions
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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to concentrate on innovative metasurface-engineered tubular designs, advanced ceramic manufacturing, and high-temperature performance evaluation. The project involves developing a mini-scale tubular high
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. This position supports ongoing research developing and using assays for the detection of various small molecules (amino acids, acylcarnitines, organic acids); testing chemical solutions to improve the stability