Sort by
Refine Your Search
-
to have completed 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
-
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
-
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
-
Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic
-
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
-
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
-
” tab as needed. Skills and Knowledge: Experience with neuromorphic computing, IC design, embedded systems, or AI. Preferred Qualifications: Record of publications in related top-tier journals or research
-
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