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substrates and their innovative use in applications such as robotics, and wearable and interactive systems. Qualifications: The successful candidate having a strong foundation in at least a few of the
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proficiency in both written and oral English. The applicant must document expertise and interest in the research subject. Required Qualifications A PhD degree in Robotics, Data Science, Plant Science, Agronomy
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· Assistive technologies for individuals with visual impairments · AI-driven physical therapy and rehabilitation systems · Human-robot interaction and coordination Responsibilities: Perform
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collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
research agenda, as well as opportunities to advise graduate and undergraduate students in the lab, collaborate with other AI faculty (vision/robotics/ML) in the department and teach courses if they choose
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) Postdoc Appointment Term: 1–2 years, renewable Appointment Start Date: September 1, 2026 or ASAP Group or Departmental Website: https://computationalmedicine.stanford.edu(link is external) How to Submit
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(for example insect-eye–inspired motion detectors for planetary landing and insect-inspired navigation algorithms) to evolutionary and neuromorphic approaches to autonomous control, as well as soft-robotic