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the use of statistical and graphical software such as Statistica, GraphPad Prism, ImageJ, or equivalent, and the ability to select appropriate statistical tests for different data types and interpret
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simulation, specifically designed for DC networks, considering widely used software in academia and system operators, such as Matlab, PSCAD, PSSE, and DIgSILENT PowerFactory - Contribute to the writing
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with colleagues and/or external stakeholders. Knowledge
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Statistical background to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working
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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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to construct the models described above (where open-source code or implementations in standard software do not already exist). Work alongside the PI and other group members to develop more efficient methods for
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? No Preferred Education/Experience Experience with qualitative data analysis software (e.g., NVivo, Dedoose, ATLAS.ti) A publication record commensurate with career stage. Familiarity with mixed-methods research
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, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing software and techniques. Background in plant biology and physiology, especially related to stress