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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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the development of data-driven insights and scholarly publications Position Requirements: Technical Proficiency: Strong command of Python or R for data manipulation (e.g., Pandas, Tidyverse) and SQL for database
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Python with some performance critical code in C/C++/Rust. Development will incorporate software best practices such as peer code review, to produce secure, testable, maintainable, and extensible code. You
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facilities Develop robust data pipelines and frameworks using Python and modern data technologies suitable for high-performance and distributed computing environments Apply ontology engineering and semantic
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, XML, Cisco IOS, and Arista OS. Knowledge and experience with NXOS, Job Submission, Databases, Perl, Python, PowerShell, and other scripting languages. Knowledge and experience with network component
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of genome biology, bioinformatics and/or machine learning. Experience with python/R programing, machine learning theory and tools. Preferred Qualifications Publication record with minimum 2 years experiences
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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in chemistry, physics, or related field. At least 2 years of experience developing quantum Monte Carlo algorithms. Strong problem-solving and analytical skills. Python programming experience. GPU
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intelligence (AI), or machine learning (ML) Basic familiarity with at least one programming or scripting language (e.g., Python, Java, C++), gained through coursework or personal projects Comfortable working in