56 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" positions at Northeastern University in United States
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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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carbon analyses into design processes and construction logistics; innovative energy and environmental systems for health and wellbeing; performance-based codes, digital compliance, and pathways such as
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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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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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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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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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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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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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code, ensuring proper hazardous materials management, leading building-wide inspections and tracking corrective actions, conducting assessments (risk/hazard/job/space/equipment/PPE/SOP/etc
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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