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. Working collaboratively with clinical anesthesia staff, GPU nursing and multiple referring BCH specialty providers. Communicating necessity, preparation, nature, and anticipated effects of anesthesia
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 4 days ago
://ffaucher.gitlab.io/hawen-website/ ), by enriching its feature set and improving its parallel performance on graphical processing units (GPUs). The Hawen software simulates wave propagation in various media, including
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conducted in collaboration with NVIDIA, leveraging state-of-the-art GPU-based simulation environments and AI platforms. The position will be hosted within the Medical Imaging and Robotics group led by Dr
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these codes in C++ or Fortran Adopting these codes for multiple-CPU and/or GPU platforms via parallelization schemes. Validating these codes via canonical and real-world examples. Job Requirements: PhD in
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Description The Academia Sinica Institute of Astronomy and Astrophysics (ASIAA ) in Taipei, Taiwan, has multiple openings for postdoctoral positions. We seek candidates to pursue observational and theoretical
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The Academia Sinica Institute of Astronomy and Astrophysics (ASIAA ) in Taipei, Taiwan, has multiple openings for postdoctoral positions. We seek candidates to pursue observational and theoretical studies in
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computational field is required. Solid coding skills and good experience with large AI models. Experience leading multiple software projects Familiarity with GPU computing environments and ML frameworks and
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learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework
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prediction. Working with the Principal Investigator (PI), the candidate will be responsible for the operation and administration of multiple projects spanning three consortia: (i) OpenFold for developing
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will