This position is funded by the new NWO-TTW program Efficient Deep Learning, which combines Dutch experts from the Machine Learning and the Computing communities. The position is shared between the University of Amsterdam and the Vrije Universiteit Amsterdam. Project The NWO-TTW program Efficient Deep Learning (EDL) combines Dutch experts from the Machine Learning and the Computing communities. The program starts mid 2018 and funds about 25 new research...More
The Netherlands eScience Center has a vacant PhD position on “reliable exascale computing”The Netherlands eScience Center supports and reinforces multidisciplinary, data and computational intensive research through creative and innovative use of digital technologies in all its manifestations. We stimulate enhanced Science (eScience) by focusing on collaboration with universities, research institutions and industry. We aim to change scientific practice by making large...
Achieving high performance on many-core accelerators is a complex task, even for experienced programmers. This task is made even more challenging by the fact that, to achieve high performance, code optimization is not enough, and auto-tuning is often necessary. The reason for this is that computational kernels running on many-core accelerators need ad-hoc configurations that are a function of kernel, input, and accelerator characteristics to achieve high performance. However, tuning kernels in i...More
Genotype and single nucleotide polymorphism calling (SNP) is a technique to find bases in next-generation sequencing data that differ from a reference genome. This technique is commonly used in (plant) genetic research. However, most algorithms focus on allowing calling in diploid heterozygous organisms (specifically human) only. Within the realm of plant breeding, many species are of polyploid nature (e.g. potato with 4 copies, wheat with 6 copies and strawberry with eight copies). For genotype...More
Humanities researchers and literary scholars commonly struggle to make sense of, and extract information from patterns in large document collections. Computational techniques for finding similarities between documents in such collections continue to be developed and are invaluable in understanding these collections as single entities. Topic modelling is a text processing tool widely used to identify structure in document collections. It has been successfully used for a wide range of applicati...More