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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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input). Imagine a robotic, prosthetic hand that automatically adjusts to the object you want to grab - without you needing to consciously control every movement. The same principle applies to robot arms
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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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MOFs and their hybrid materials. The primary objective is to explore the fundamental structure–property relationships that govern MOF vitrification and liquid-phase behavior, and to develop new MOF-based
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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researchers. The successful candidates for these positions will join our team for further advances in this area and either focus on defining a climate breeding objective or developing a climate index. The work
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medical images and other health data. The group develops and evaluates clinically meaningful decision support tools by integrating health data, domain knowledge, and machine learning. Key objectives include