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should be fluent in Python, R and SQL and comfortable working with large spatiotemporal datasets, mathematical disease modeling, and network science. Additionally, the position involves regular
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master’s degree in related fields (computer science, electrical engineering, or computer engineering) Previous experience in Python programming Experience implementing machine learning algorithms in python
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, Management Science or closely related field. Experience of designing and performing data analyses. Excellent programming skills in Python or R. Excellent written and verbal communication skills. Demonstrated
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, or Python Proficiency with statistical analysis (descriptive, regression) Intermediate to advanced skills in Microsoft Excel with ability to expand skills as needed Experience with data cleaning, database
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abstract models. Demonstrated ability to design and generate reports using standard graphing (e.g., Grafana, Python visualization libraries) and reporting tools spreadsheets, pivot tables and statistical
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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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taxonomy in AI-assisted workflows Prototype and test automated classification scripts (Python/R) Document data pipelines and QA/QC procedures Supervision & Training Mentor PhD-level and undergraduate RAs
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. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in
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related to experimental finance and asset markets. Programming experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments. Recruiting, training, and
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Proven experience in developing and deploying AI solutions. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar. Proficiency in data preprocessing, model training, and