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tools for electronic and mechanical design. Familiarity with the design, implementation, and maintenance of electronic instrumentation systems or devices. Programming experience in Python for test
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administration of evaluation and research activities The Research Associate operates in a moderately complex technical environment using several software products (e.g., Tableau, Alteryx, R, Stata, Knime, Python
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of neural population data. Experience with scientific programing languages (e.g., C/C++, Python, and Matlab). Experience working in a collaborative, multi-disciplinary environment and exhibit good
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• Demonstrated experience in computational or quantitative research methods. • Strong programming skills in Python. • Experience with high-performance computing, geospatial data, and causal inference methods
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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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to programming using modern languages such as Python or C++. Expertise in AI/ML, including proficiency in key programming languages, such as TensorFlow and PyTorch, and experience with machine learning frameworks
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. Demonstrated programming experience in Python and C/C++ or Verilog, SystemVerilog. Excellent oral and written communication skills. Ability to work productively independently and collaboratively as part of a
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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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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