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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 40 minutes ago
, QUDA , Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem and Bayesian methods. Experience using DOE computing allocations ( NERSC
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group on the Google Willow Chip project ( https://www.bbc.co.uk/news/articles/cd7pwezyze1o ) for which we require quick delivery. The goal of this recruitment is to appoint one postdoctoral
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 25 days ago
platforms, distributed systems, GPU -enabled computing, or MLOps workflows * Experience providing technical leadership, mentoring developers, or owning major features or work streams * Experience
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large-scale GPU or cluster-based training, reproducible experiment pipelines, versioned datasets, and systematic evaluation. Ability to formulate research questions, run empirical studies at scale
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computing environments (e.g., GPU ‑ enabled systems, shared compute clusters). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL) Exposure to graph
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judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated platforms. Familiarity with identity
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networks, as well as courses in Python, GPU programming, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and
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teach at the university level in one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU
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. Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. Desirable: B1. Knowledge of Trusted Research Environments out with or within an HPC environment
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. Our research facilities include modern GPU computing resources, shared data and annotation infrastructure and access to relevant text corpora. Principal supervisor: Associate Professor Desmond Elliott