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systems (Mojo, Julia, Rust, Python), and HPC system co‑design. This position is embedded within the larger DOE ASCR ecosystem, with direct relevance to ongoing efforts, and related AI‑for‑HPC thrusts
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. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other scripting/programming languages in
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and maintain Python scripts, Arcade expressions, attribute rules, and automated processes (including batch scripts and Windows Task Scheduler jobs). Publish and manage map, feature, image, geoprocessing
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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, Python, Bash, and GitLab CI. Support the use and understanding of in-house Kubernetes operators and serve as a secondary maintainer for those controllers. Hardware and Infrastructure Management Write and
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in Python and C++ programming Ability to get and hold a security clearance A commitment to lifelong learning Preferred Qualifications: 5 or more years of experience relevant to the job duties
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, or a related discipline The ability to obtain and maintain a security clearance from the Department of Energy Preferred Qualifications: Experience with programming languages such as python, Fortran
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, Environmental Informatics, or a closely related field. 3+ years of strong programming experience in Python (including data processing, scripting, or basic ML workflows). Foundational understanding of ML concepts
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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at least four of: Electronic Health Record (EHR) systems Excel (advanced; pivot tables, power inquiry) JMP Microsoft Access Oracle Database Python R REDCap SAS SPSS SQL STATA AI Tools Communication and