Sort by
Refine Your Search
-
)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
-
infrastructure, opportunities to collaborate with faculty at a truly interdisciplinary school, and connections to the policy world and to a robust network of diverse scholars. This is an exempt-level, benefited
-
MRI systems or multi-shell diffusion modeling, and hands-on experience with neuroimaging software such as FSL, ANTs, SPM, or AFNI, will also be considered advantageous. A demonstrated interest in
-
network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
-
. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities
-
science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
-
.), Proteomics, Metabolomics, Bioinformatics. Software: Microsoft Office (power point, excel, word), Image J/Fiji, EndNote. The position will remain open until filled. This is an exempt-level, benefitted
-
data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world