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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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-targeted properties. This includes development of polymerization methods, formulation of coatings and their testing. In additional to the academic advisor, the PD candidate will be in close collaboration
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. The focus of this project is the development of advanced electrochemical purification methods to recover lithium from industrial wastewater. In this project, the postdoctoral researcher will focus
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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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these with quantitative and qualitative research methods to promote a regenerative food system in the Netherlands? If you have a PhD degree and a skill set that puts you in a good position to carry out
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. Validate and test these solutions with respect to the classical methods. choose an appropriate data processing board, optimise the existing software that has been developed, tested, and validated, and then
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analytical skills. A methodical approach to your work and the ability to clearly document, disseminate and communicate your work and results. You should also have good interpersonal and communication skills
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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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foundation in statistical modeling and algorithm development, with the ability to translate complex data into actionable insights; Preferably, experience applying these methods in the context of healthy
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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