Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
: Carnegie Mellon University 5000 Forbes Avenue Department of Statistics & Data Science 232 Baker Hall Pittsburgh, PA 15213 Web Page: https://www.cmu.edu/dietrich/statistics-datascience/index.html
-
& Data Science 5000 Forbes Avenue 232 Baker Hall Pittsburgh, PA 15213 Web Page: https://www.cmu.edu/dietrich/statistics-datascience/index.html
-
Associate to assist with statistical modeling of single-cell multiome data, development of algorithms to link enhancers with their cis-regulatory gene targets, simulation studies and real-data benchmarking
-
, and cost-effective data platforms. Your core responsibilities will include: Install, configure, and maintain Microsoft SQL Server instances and related components across Windows and cloud platforms
-
Responsibilities Developing algorithms to link enhancers with their cis-regulatory gene targets Simulation studies and real-data benchmarking Working with and analyzing biological data Developing data Implementing
-
simulation using LLMs in educational and research settings, ranging from classroom engagement tools to data-driven research methodologies. Conduct workshops or training sessions for faculty to introduce LLM
-
work environment. We are seeking creative and upbeat Research Associate I that will assist in the development and execution of research projects including experiment design, analysis of data collected