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Field
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thorough investigation of background information pertinent to the research program and an ability to understand the theoretical basis of the work being performed. Under the guidance of the faculty mentor and
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assignment extension contingent to performance and/or funding availability. We seek a highly motivated postdoctoral researcher to join our interdisciplinary research group investigating the interface between
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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strong interest in and experience with the LHC scientific program This position has a high level of interaction with an international and multicultural scientific community. The Omega Group in the Physics
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strong knowledge of superconductivity and quantum information science; You have performed low temperature electrical transport measurements and data analysis. You work effectively in a collaborative team
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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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development of detectors sensitive to ultra-high dose rates. Developments of computation methods for small-field dosimetry, radiation detection systems used in photon, proton, and electron beam radiation
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to support the design. Perform computational fluid dynamic, computational magnetohydrodynamic, thermal hydraulic, and mass transport simulations of tritium breeding blanket designs. Collaboration with a broad
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
: Familiarity with ice-ocean interaction physics or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g