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Field
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developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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together more than 400 researchers across disciplines. The collaboration provides access to substantial computational resources (GPU nodes), advanced high-throughput instruments (including a FACS, mass
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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access to substantial computational resources (GPU nodes), advanced high-throughput instruments (including a FACS, mass photometer, ITC, SPR, and others), and state-of-the-art characterization tools
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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framework and implemented on our research scanners for pre-clinical trials and validation at the University of Copenhagen using GPU processing. Qualifications Candidates should have a PhD degree in electrical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory experiments (in the Joint Fluids Lab at UNC), analyze results, publish in peer-reviewed journals
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 2 months ago
, and two servers, Saraswati and Lakshmi, each with 8 A100 GPUs. Those clusters are in the process of being extended. They are used to run numerical-relativity simulations of gravitational-wave sources