Sort by
Refine Your Search
-
Listed
-
Country
-
Field
- Computer Science
- Economics
- Medical Sciences
- Business
- Science
- Engineering
- Education
- Biology
- Arts and Literature
- Mathematics
- Law
- Social Sciences
- Linguistics
- Humanities
- Materials Science
- Sports and Recreation
- Psychology
- Environment
- Chemistry
- Philosophy
- Earth Sciences
- Design
- Electrical Engineering
- Physics
- Statistics
- 15 more »
- « less
-
assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
-
Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
-
. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
-
specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and persistence; (3) technological competence; and (4) the ability to use skills and
-
technical trainings as required. Participate in technical meetings, including RVTECH and related planning forums. Travel internationally as needed to learn about, evaluate, and understand technologies and
-
machine learning architectures. Preferred qualifications: Prior experience or a strong interest in aging-related research and biology. Demonstrated experience applying deep learning or machine learning
-
science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
-
origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http
-
. · Knowledge in servers with GPUs, and development of Artificial Intelligence applications. · Solid understanding of Pattern Recognition, Machine Learning, and Deep Learning with applications to health issues
-
contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will lead the design, development, and