Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines. The goal of the team is to understand
-
use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and
-
journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from
-
and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses
-
unprecedented insights into the brain's algorithms of perception and cognition while serving as a key resource for aligning artificial intelligence models with human-like neural representations. We are seeking a
-
and implement generalizable algorithms and tools for analysis of biological data, including high-throughput functional genomics assays Evaluate and recommend new emerging technologies, approaches, and
-
. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
-
into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
-
will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
-
systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user