Sort by
Refine Your Search
-
. Ability to organize research data. Demonstrated ability to work with and care for large animals (i.e., livestock). Willingness to work irregular hours occasionally. Ability to lift up to 50 pounds If you
-
scientific and technical resources, and partnering across governments, non-profits, and industry we are working to solve big environmental challenges. We rely on a small, dedicated team of engineers to curate
-
. Tang Welcome Center. In addition, the VEC helps oversee a large and enthusiastic student staff and supports a variety of high-impact campus events. This is an exciting opportunity for a skilled
-
maintaining standard operating procedures, training farm staff, equipment and facility upkeep, coordinating facility use for research and teaching purposes, data collection, record retention, and ensure
-
on applicants with expertise in Systems, Artificial Intelligence—especially in Natural Language Processing, Large Language Models, and AI for Science—as well as in applied Programming Languages and formal methods
-
placed on applicants with expertise in Systems, Artificial Intelligence—especially in Natural Language Processing, Large Language Models, and AI for Science—as well as in applied Programming Languages and
-
placed on applicants with expertise in Systems, Artificial Intelligence—especially in Natural Language Processing, Large Language Models, and AI for Science—as well as in applied Programming Languages and
-
placed on applicants with expertise in Systems, Artificial Intelligence—especially in Natural Language Processing, Large Language Models, and AI for Science—as well as in applied Programming Languages and
-
judgment. Demonstrated ability to develop effective working relationships with students, faculty, and staff. Ability to organize research data. Demonstrated ability to work with and care for large animals
-
to drive informed, effective decisions is required. The ideal candidate will be fluent in using statistical coding languages such as Python, R and SQL to query large datasets from a data warehouse and create