115 condition-monitoring-machine-learning Postdoctoral positions at Princeton University in United-States
-
, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. Expected Salary Range: PDRA
-
PI278000435 Create a Job Match for Similar Jobs About Princeton University Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all
-
topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
-
technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
-
for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic
-
; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine
-
, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. Inquiries about the position may
-
University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in
-
Princeton University Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth
-
appointments.Applicants must select one or more research mentor/co-mentor from the following Principal Investigators and Ludwig Princeton Branch members. Please visit https://ludwigcancer.princeton.edu/ to learn more