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is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities: Teach selected graduate
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Develops and maintains product features leading a small team of engineers: Effectively uses issue tracker tools and responds if an external contributor or customer raises a ticket/issue related to their code
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languages (e.g., C++). Familiarity with open-source scientific simulation frameworks (e.g., Cantera) and collaborative software development workflows including version control, code review, and continuous
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, recall, F1, correlation, agreement statistics) Experience with version control (Git) and collaborative coding practices HIGHLY DESIRED Experience with prompt engineering and LLM optimization Background in
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/EventHub). Understanding of data modeling, data vault, star/snowflake schema, and data products. Required Skills: Ability to write clean, optimized SQL and pipeline code. Strong analytical and
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, data vault, star/snowflake schema, and data products. Required Skills: Ability to write clean, optimized SQL and pipeline code. Strong analytical and troubleshooting skills with ability to diagnose
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overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary Responsibilities
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to work on industry collaborations. Responsibilities will include building an ETL and ML pipelines for multiomics or healthcare data, write code for data analysis and post-processing data. Training
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maps, and statistical summaries of model outputs. Prepare comprehensive technical reports documenting methods, results, and limitations with all source code and data properly documented. 20% Provide
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for epidemiology with some coding of simulations. Tentative start date: February 2026. This work will contribute towards the understanding of disease progression and building reinforcement learning frameworks