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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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(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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procurement practices. Basic coding skills (SQL, Python, VBA, or similar) for querying and integrating data. Proficiency with barcode tagging, stock tracking, and warehouse management. Strong organizational and
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programming language such as Python, C, or C++. (Required) Demonstrated proficiency with Microsoft Windows software including Word, Excel, MS Access or SQL Server Management Studio. (Required) Demonstrated
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. (Required) Familiarity with modern data acquisition equipment, associated technologies, sensors, interfaces, analysis tools, software, and scientific programming languages (e.g., Python) used in instructional
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(Google Workspace, databases, MS Office). Python scripting is a plus. In Addition, Wire Bonding Specialist Level 4: Skilled in developing technical procedures and training materials. Notes: This is a full
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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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discipline. Experience and deep understanding of X-ray scattering experiments Experience with development of analysis code for experimental data in Python or similar language Strong interest in learning new
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is Python. Demonstrated experience working with the Materials Project and pymatgen. Ability to work creatively, independently, and productively. Ability to work as a member of a large multidisciplinary