16 phd-in-computer-vision-and-machine-learning-"https:" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
-
of Denver’s mission, vision and values, please visit: https://www.du.edu/about/mission-vision-values. The university, and department, provides a number of resources and supports for incoming faculty to support
-
emergency medicine, computer vision, or data science are highly encouraged to apply. The ideal candidate is self-directed, detail-oriented, and an effective communicator in both written and spoken English
-
Science and the Cognition and Perception Program of the Department of Psychology at New York University have a one-year postdoc position available, supported by our Visual Neuroscience Training Program. It
-
applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
-
the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
-
interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
-
engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data
-
, stand and walk occasionally, reach with hands and arms, use hands to manipulate a keyboard and mouse, and have good near vision for computer work; often requiring minimal lifting, but may involve bending
-
of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event