Sort by
Refine Your Search
-
- centric AI systems. Assistive / Collaborative Robotics: Interest in developing robotic systems for rehabilitation, assistive technology, or neuro-prosthetics, leveraging machine learning to improve
-
background in physics and an interest in developing new quantum measurement platforms are especially encouraged to apply. The selected candidate will join a highly collaborative research environment and
-
Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
-
will engage in research that includes applied machine learning, systems building, and Internet measurements. Key Responsibilities: Contribute to driving and developing the lab's research directions and
-
collaborative research environment within CQTS. The central responsibility of the position is instrument building: conceiving, prototyping, assembling, integrating, calibrating, automating, and troubleshooting
-
-doctoral researchers trained in physics, biology, and chemistry with whom the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical
-
Post-Doctoral Associate/Associate Research Scientist in the Division of Science (Biological Physics)
the successful candidate will collaborate closely. Applicants must have a PhD in physics or biological physics. Excellent analytical skills are required and prior experience in soft matter or biological physics
-
collaborations. Applicants must hold a Ph.D. in science, engineering, or a closely related field awarded before the start date, and is within the first five years post-receiving a PhD. Competitive candidates will
-
trustworthy digital ecosystems throughout the lifecycle of the built environment. The successful candidate will join a dynamic and interdisciplinary research environment and collaborate with faculty and
-
learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security