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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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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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Interaction, Human–Computer Interaction, Design Research, or a closely related field (either completed or a defence date has been set). A strong research track record, demonstrated through publications, design
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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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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
literature research and empirical studies combining qualitative methods and perspectives from political economy. The position requires enthusiasm for engagement with current computational infrastructures
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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