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provides students with a wide-ranging and up-to-date education. The Division of Mathematical Sciences invites applications for an Asst/Assoc Prof (Tenure Track/Tenured) position specializing in Post-Quantum
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an emphasis on technology, data science and the humanities. The Nutrition, Digestion, and Metabolism in A/Prof Sunny Wong’s Lab focuses on understanding the interplay between diet, metabolism, microbiome, and
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Responsibilities: The Research Associate is responsible for Formulating new algorithms for sampling from conditioned SPDE models Developing a mathematical theory showing their correctness and reliability Find
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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications
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the Computational Mechanics Group at ETH Zurich. The selected candidate will join the Computational Geophysics Lab of Asst. Prof. Luca Dal Zilio as a Research Fellow and work in close collaboration with Prof. Laura
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Lab of Asst. Prof. Luca Dal Zilio as a Research Fellow and collaborate with Prof. Laura De Lorenzis (ETH Zurich), to implement robust, scalable solvers for coupled deformation-fracture-fluid systems
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an emphasis on technology, data science and the humanities. The laboratory of Asst Prof Liang Kun (Skin Bioengineering and Devices Lab) at LKCMedicine (Novena Campus) is seeking a highly motivated research
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ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements Design high power-efficiency RF power amplifiers Develop scripts and algorithms for analog IC
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an emphasis on technology, data science and the humanities. The Nutrition, Digestion, and Metabolism in A/Prof Sunny Wong’s Lab focuses on understanding the interplay between diet, metabolism, microbiome, and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems