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of emerging diseases. The successful candidate must be able to develop code to generate simulations and analyze large, complex datasets. They will be expected to carry out independent research and analysis, as
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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: Teach
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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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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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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Computing Center (MGHPCC). You will help with optimization of code and utilization of scheduler features to maximize throughput of jobs. In addition, you will work with research groups to help identify
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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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About the Opportunity JOB SUMMARY The Learning and Brain Development Lab (PI: Juliet Y. Davidow) at Northeastern University in Boston, MA, USA (https://lbdlpsych.sites.northeastern.edu/) is excited
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to resolve functional or structural issues. Write clear, maintainable code intended for iteration within an existing codebase. Participate in code reviews and follow established development practices. Minimum
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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