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). Experience with distributed systems, GPU computing, or cloud-based simulation environments. Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments. Experience
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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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at Imperial-X or The Alan Turing Institute. They will interact with DataSig’s scalable computation objective of extending our RoughPy framework to support GPU/FPGA acceleration for real-time stream processin
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equipment such as small cluster computers, high-end GPU nodes and specially configured workstations on which experiments are conducted. You will be working in a team of junior and senior system administrators
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Postdoctoral Research Associate I (Computational Stellar Astrophysics) Posting Number req24359 Department Steward Observatory Department Website Link https://www.astro.arizona.edu Location Main Campus Address
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at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/21805584/research-assistant-in-the-division-of-science-x5b-computer-science-x5d-dr-riyadh-baghdadi Return to Search
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) Country Poland Application Deadline 30 Nov 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme
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a dedicated CPU+GPU computing cluster at the Massachusetts Green High Performance Computing Center. The appointment will be for a maximum of three years, with annual renewal contingent on performance
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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov