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Field
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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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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 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
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for Human and Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to
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weaknesses. For instance, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting
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University of Notre Dame, Applied and Computational Math and Statistics Position ID: NotreDame -PDLUCY25 [#26898] Position Title: Position Type: Postdoctoral Position Location: Notre Dame, Indiana
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Description The Postdoctoral Research Associate is responsible for designing, conducting, and summarizing research projects associated with dairy cattle heat stress experiments and develop associated computer
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project(s) aligned with the postdoc’s research interests and expertise. TAMU-CC facilities include a genomics core lab and High Performance Computing (HPC) facility. The postdoc will also help generate
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; (ii) an impact evaluation of a large-scale tree-growing program in Kenya, Tanzania, Uganda, and India; and (iii) an analysis of financial incentives for smallholder tree growing in Ethiopia. In
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software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics