-
nanocrystal morphology and optical property characteristics. The researcher will work collaboratively with graduate student(s) to design and implement a machine learning (ML) algorithm using the database as
-
clinical trials. This includes the design of a data model, building and testing projects within the data model and end-user testing. Some projects may also require algorithms or other calculations be built
-
, building and testing projects within the data model and end-user testing. Some projects may also require algorithms or other calculations be built directly into Redcap. 20% Set up automated survey processes
-
standards. Key Responsibilities: Course Development and Delivery: Design and teach course material focusing on key topics, including an overview of AI, machine learning, and data science; algorithms and data
-
, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data
-
approaches. Topics include algorithms for genomic data analysis, machine learning applications, and computational modeling of biological systems. Students will gain hands-on experience with commonly used
-
instructor modification, within the overall focus on exploring speech recognizer core components and their underlying algorithms and surveying real applications, with coursework that involves students building