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Field
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Mathjobs.org | about 1 month ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 10 days ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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implementing high performance signal processing algorithms on resource constrained hardware Experience using FPGA development tools such as Vivado and LiteX Experience using GPU compute frameworks such as
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Pontificia Universidad Católica de Chile | 2 months ago
. Additionally, the IA-PUC/AIUC hosts two supercomputers and a GPU cluster, available for numerical simulations, large databases, and data analyses. In anticipation of the ANID FONDECYT call for applications
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with GPU computing, distributed training or inference, high-performance computing systems, cloud-native platforms, edge devices, Internet of Things (IoT) systems, or federated/distributed data
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scalable scientific-data workflows using Dask and NetCDF or Zarr datasets. Experience with GPU or distributed training and familiarity with agricultural or environmental applications of weather
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pretraining and fine-tuning is a plus · Experience with multi- GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced
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single-particle cryoEM and cryo-ET, and a Hydra FIB-SEM for in situ structural studies of cellular and tissue sections. The lab has multiple GPU workstations and access to the university computing
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-image registration , high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image segmentation. Previous experience in thermal
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execution environments on both CPU and GPU based HPC systems. Exploration of the capabilities of DPU/IPU SmartNICs to support network security isolation, platform level root-of-trust, and secure