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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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collaborative research program. Maintain rigorous experimental records and reproducible protocols. Develop mechanistic understanding beyond empirical optimization. Publish in high-impact journals in materials
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at scientific meetings. Successful candidates are expected to: Work independently while contributing to a collaborative research program. Maintain rigorous experimental records and reproducible protocols. Develop
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization
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and international network of leading scientists and practitioners, including Professors Christopher Golden (Harvard University), James Robinson (Lancaster University), and Christina Hicks (Lancaster
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universities in the world, KAUST intends to become a major new contributor to the global network of collaborative research. It will enable researchers from around the globe to work together to solve challenging
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Zamborain-Mason, and will collaborate closely with an exceptional network of researchers and practitioners, including Professors Joshua Cinner (University of Sydney), Christina Hicks (Lancaster University