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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning
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their Ph.D. or have it completed by the start of employment. Skills and Knowledge: Knowledge of modeling and data analytics to develop simulation codes and for conducting data analysis. Superlative ability
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. Please upload additional documents to the “other documents” tab as needed. Skills and Knowledge: Experience with advanced microscopy techniques such as transmission electron microscopy (TEM), scanning
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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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field awarded prior to starting date. Skills and Knowledge: Excellent organizational skills. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Experience with analyzing
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science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
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the reference section of the application. Please upload additional documents to the “other documents” tab as needed. Skills and Knowledge: Excellent experience in one or more of the following topics: power