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Field
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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
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, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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barotropic/baroclinic ocean processes, tides, storm surge, and coastal inundation. Proficiency in scientific programming (Fortran/C/C++), Python-based analysis, version control (Git), and working in Linux/HPC
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international collaboration. How to Apply The University only accepts online application
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, MRtrix, ANTs, or equivalent, and programming or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data
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AIMD-derived phonons), as well as experience in scientific programming and HPC environments. You are familiar with the concept of phonon quasiparticles (self-energy, renormalized frequencies/lifetimes
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very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or AIMD-derived phonons), as well as experience in scientific programming and HPC environments. You are
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Your Job: In this position, you will work in an interdisciplinary team of experts in HPC, ML, and biomedicine. You will contribute your individual strengths while also developing in adjacent fields