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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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Work location Zürich or Lugano Topic B: Simultaneous tree traversal with Producer-Consumer pattern on GPUs Abstract Simultaneous tree traversal, also referred to as dual tree traversal, can be applied
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 17 hours ago
. The researcher will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations
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can support prediction of many different clinical outcomes at once. To fuel your models, you will have access to one of the largest multicentre ICU resources to date (~1M patients, ~33B clinical events
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at ESRF with the open-source PyNX software suite which exploits graphical processing units (GPU) for accelerated reconstructions enabling online data analysis. You will drive software development to exploit
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the future. Here’s how you’ll make a difference: Collaborative research centers (SFBs) are the "Champions League" of the DFG-funded projects (Deutsche Forschungsgemeinschaft). They are spanned over 12 years
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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maintenance of codes for different platforms, including HPC and GPU systems, as well as support in the management and exploitation of massive databases. · Support for scientific projects: facilitating access
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evolution of the seabed and the salt marsh. In fact, solving an advection-diffusion equation for different sediment grain sizes and vertical levels rapidly dominates the computational time and does not
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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different