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experience. Experience with Linux development using Python and JavaScript. Exposure to scalable systems, interfaces, and data models. Strong problem-solving and analytical skills. Ability to work effectively
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/C++, Python, or MATLAB/Octave; experience with high-speed serial links and FPGA transceivers. Familiar with version control (Git), CI tools, and software quality practices. Strong analytical, problem
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Lawrence Berkeley National Laboratory has multiple openings for a Scientific Engineering Associate in Berkeley, CA. Duties: Perform scientific data analysis using the scientific python stack
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· Undergraduate degree in engineering, computer science, information systems, or other related field is required · 1 – 3 years of experience with Python programming required
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using Python based programming tools. Notes: This is a full time, 3 year, term appointment that may be renewed to a maximum of five years. This position is represented by a union for collective bargaining
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(e.g., Python) and associated collaboration tools (e.g., Microsoft Office). (Required) Willingness to learn new technical and/or lab support skills. (Required) Experience with data acquisition hardware
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/training) in Applied Mathematics, Computer Science, Computational Biology, or related field and a minimum of 1 year of experience with basic coding skills in Python and pyTorch or an equivalent combination
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well as multimedia processing libraries, and other common software components in Python and C/C++. Ability to learn new languages and libraries as required for individual projects. (Required) Experience with deploying
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using SQL, R, Python or other coding languages to create datasets that facilitate robust reporting and analysis. Demonstrated proficiency in the use of statistical software such as SPSS, SAS, Stata, or R
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more than one systems scripting/automation language, such as batch/shell scripting or interpreted high level language scripting (e.g., GNU BASH, Windows PowerShell, Python, and Perl). Experience with