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Job descriptionIn this role, you will delve into the analysis, implementation, and application of novel numerical methods to efficiently and accurately compute volume integral operators that lie at...
Job descriptionThis doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate the potential of sparse-to-sparse training of deep neural ne...
Job descriptionThe main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy efficiency of deep neural networks. Investigate the mathemati...
Job descriptionThe successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models that are not only powerful but also energy-efficient. This...
Job descriptionThousands of students across many technical programmes are taught mathematics every year at the University of Twente, by teachers based in the Applied Mathematics Department. Assessm...