Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
enterprise data into usable models (Snowflake preferred). Experience working with large-scale administrative systems such as Banner, Workday, Salesforce, or ServiceNow. Effective analytical thinking and
-
Computer Science, Information Systems, Business Administration, or a related field. Experience · 8–10 years of progressive IT project management experience, including managing large, complex, cross
-
, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or
-
TypeScript. A solid foundation in machine learning, large-data processing and software development, including Python, HTML, CSS, and other web frameworks, is essential. Candidates should have excellent skills
-
learning and predictive modeling capabilities. Identify patterns and opportunities within large datasets from enterprise data warehouses, including Snowflake, using innovative AI and analytical techniques
-
), with a track record of working with large, complex datasets. This includes collecting, managing, analyzing, and visualizing/communicating data to a variety of audiences: the general public, scholars
-
. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
-
further developing existing protocols; collect and analyze large data sets; adhere to the principles of Good Laboratory Practice; assist in the preparation of figures for manuscripts and grant proposals
-
to AI and big data analytics, synthetic biology, robotics, and neurotechnologies. Qualifications: Ph.D. in Philosophy, Science and Technology Studies, Bioethics or a related field in hand by
-
inquiries, with AI-ready infrastructure for advanced machine learning and predictive modeling capabilities. Identify patterns and opportunities within large datasets from enterprise data warehouses, including