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Field
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elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
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analysis Numerical methods for differential and integral equations Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written
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for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent
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biology approaches. Experience with HPC or cloud computing environments for large datasets. Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions
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Research Associate. The Goodwill Computer Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning
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infrastructures. To achieve this, the group at LAM—30 people strong, with HPC and ML expertise through CESAM and in close collaboration with ONERA and Bertin-ALPAO—is recruiting a postdoctoral researcher and a
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local research software engineer for your research group(s) and improve the use of computing among all group members. Stay up to date with the latest HPC, AI, and general computing/data management
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developing or applying parallel algorithms and scalable workflows for HPC resources. Experience developing or applying privacy-enhancing technologies such as federated learning, differential privacy, and