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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
opportunity to drive service excellence in support of world-class AI research and innovation. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
team delivering critical infrastructure to some of the nation’s leading AI researchers. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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high-performance GPU cards for enhanced processing capabilities. For more details, please refer to: https://robinson.gsu.edu/academic-departments/insight/innovation-labs/insight-lab/ Disclaimer: This job
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(3–4 years) Salary per university collective agreement (€39,005.40 gross/year, 30 hours/week) Access to a modern GPU cluster Conference travel and active support towards publications How to apply Email
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decays and related physics object performance studies , development of the real-time analysis (RTA) in particular with ML/AI reconstruction on hybrid GPU/FPGA architecture for the electromagnetic
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Summary/ Department Summary: The GPU is a procedural unit running 5 days a week for both ambulatory and inpatients. The GPU performs a wide range of non-sterile procedures: examples include; therapeutic
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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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contemporary GPU hardware, or Profound knowledge and experience of the DUNE software environment (https://dune-project.org/) (knowledge and experience with DUNE-FEM is a merit). You have very good oral and
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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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), with collaboration from PhD students and external partners. The researcher will benefit from an active local community in AI and access to GPU computing infrastructure. Where to apply Website https