Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
-
-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
-
engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
-
of a multidisciplinary team Skilled in explaining technical methods to a general audience Desirable criteria Experience with machine learning Coding in PyTorch Evidence of published work simulating
-
general audience Desirable criteria Experience with machine learning Coding in PyTorch Evidence of published work simulating soft tissue mechanics Experience supervising junior team members and PhD students
-
to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
-
skills. Aware of the ethical issues around working with Big Data. Desirable criteria Experience applying advanced statistical or machine learning methods to complex datasets. Evidence of involvement in
-
statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas. A commitment to teaching the next generation of researchers
-
skills and experience: Essential criteria PhD awarded (or near completion*) in Engineering, Computer Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with
-
. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS