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of reliable and robust deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners
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deep learning methods with clinical impact. The project is highly interdisciplinary, and the successful candidate is expected to interact with clinical and industrial partners. Where to apply Website
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a
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lithium carbonate or lithium hydroxide, an estimated 40–70% of the lithium extracted from ore is lost in wastewater streams. Addressing this inefficiency is vital to building a more sustainable and circular
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(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge
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the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data Science Section is to lead the Agency’s centre of excellence