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stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and high-performance computing infrastructure with GPU clusters for
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. Our research facilities include modern GPU computing resources, shared data and annotation infrastructure and access to relevant text corpora. Principal supervisor: Associate Professor Desmond Elliott
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and European supercomputer facilities LUMI and Computerome, along with local small-scale GPU resources at the Niels Bohr Institute. Local SAXS instrument are available at both institutes, and managed
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experiments, IDLab-UAntwerp's world-class research infrastructure, including GPU Lab, Software Defined Radios and programmable beamformers, as well as research infrastructure provided by industrial
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Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods Experience with HPC workflows (cluster computing, GPU computing
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agents and new environments to be tested quickly. Resources include HPC clusters, GPU/CPU nodes, cloud compute, EEG, fMRI, and eye-tracking. The lab is building a shared computational core of models
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 8 hours ago
). Developing multi-spectral computational modeling tools using GPU-based processors to map light propagation for characterizing wearable optical sensors under a wide range of scenarios. Mentor: The