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: Experience with CUDA programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high
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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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Lab< https://medicine.yale.edu/lab/cho/ (Link is external) (Link opens in new window) > utilizes neuroimaging to better understand neural mechanisms of psychiatric illness related to processes such
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Functional logic programming Property-based testing Interactive theorem proving (such as Agda, Lean, or Rocq) Domain-specific languages (for example, for hardware design or parallel programming) Array or
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 8 hours ago
stem cells. 2) Functional genomics of noncoding regulatory variation Projects will use massively parallel reporter assays, CRISPR-based screens, and genome editing to test noncoding variants, map
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the