318 parallel-computing-"Institute-of-High-Energy-Physics" positions at Oak Ridge National Laboratory
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods
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in multiphysics modeling Experience in parallel programming on large-scale computational clusters Expertise in Matlab programming Active TS/SCI Clearance is preferred Special Requirement: This position
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Requisition Id 16264 Overview: We are seeking a Computational Fluid Dynamics (CFD) modeler to apply modeling tools to simulate the complex behavior of fluids at all scales to support isotope
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challenges facing the nation. The Advanced Engineering Technologies (AET) Group is seeking a computational fluid dynamics analyst to specialize in the use and development of computational simulation software
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Requisition Id 16247 Overview: We are seeking an experienced profession to lead ACCEL (Accelerating Competitiveness through Computational ExceLlence), an industrial partnerships program within
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming
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Requisition Id 16262 Overview: We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum
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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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researchers Grant writing experience Experience with high performance computing (HPC) and deep learning frameworks like PyTorch Experience developing parallel algorithms and scalable workflows for HPC resources
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure