Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
datasets Generate research insights using new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data Create databases and reports, develop algorithms and
-
of such solutions might include: Machine learning algorithms Text feature extraction (OCR, NLP, LLMs, etc.) Image/Video/Audio processing (Face tracking, Classification, etc.) API programming Custom full-stack
-
datasets and interpret results, Design and implement state-of-the-art machine learning models, algorithms, and statistical models, Participate in literature searches, report writing and manuscript
-
upon existing literature You will then conceive, propose, and deliver innovative bespoke solutions to these research challenges. Examples of such solutions might include: Machine learning algorithms
-
together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
-
visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use
-
, binding, specificity, stability, and catalytic efficiency of proteins of interest. Data generated will be used to develop large databases for use in the evaluation of protein function prediction algorithms
-
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
-
analytics. Support research needs by overseeing teams engaged in projects and operations to design, implement, and support innovative technical solutions. Areas could include machine learning algorithms
-
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