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Figma. Leverage open-source and internal frameworks to support network operations. Independently analyze complex issues, evaluate multiple factors, and write maintainable software based on user stories
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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programming language, such as Python. Knowledge of AI, Machine Learning, and Deep Learning techniques and frameworks. Thorough knowledge of technical development best practices and resourcing, sufficient
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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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(e.g., Python, Perl). Expert-level skillset in Enterprise Network design engineering analysis and configurations of multi-vendor routing, switching, wireless controller, wireless access points, firewalls
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, and research/design evaluation. Demonstrated expertise in statistical analysis using scripting languages such as Stata, R, or Python and experience with at least one object oriented programming
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(redundancy, safety integrity levels, fail-safe design). Strong understanding of modern coding practices: version control, debugging, testing, and clear code documentation. Ability to manage multiple projects
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training the next generation of space scientists. Today, our Mission Operations Team plays a central role in operating multiple NASA science spacecraft and we’re preparing for our most ambitious era yet. By
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meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux environment. Experience with Data management utilizing software
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multiple sources, including numerous UC campus systems: (Berkeley Financial System (BFS), CalAnswers, UCPath, Student Information System (SIS)). Requires expertise in Javascript, SQL, Python, Stata, or R