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characterized as an inability to emulate basic human vision skills. Despite significant advances in deep learning-based computer vision systems, many limitations still exist. The main objective of this project is
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The primary responsibility of this position is to assist research activities in controlled environment agriculture (CEA) by applying artificial intelligence, computer vision, and automation to crop sensing and
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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
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vision challenges) Experience with version control (Git) and collaborative development practices Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405693/research-engineer-c
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
capable of advancing these topics independently. In close collaboration with experienced researchers, the engineer(s) will be in charge of: developing a data acquisition interface developing computer vision
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Position Details Position Information Job Title Computer Vision Developer Appointment Type Student Employee Job Location Corvallis Position Appointment Percent 100 Appointment Basis 12 Pay Method
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period, but with the intention to extend subject to stage-gate approval of the full programme. This is a new role which will define the roadmap, champion the vision to senior stakeholders, and lead the
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need for graduate student services to provide technical and/or analytical support in the field of computer science and electrical engineering for a computer vision team, specifically for the Shipboard
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perspective over the course of the program. This position will lead group advisement sessions with students, which take place between their for-credit courses (approx. once every 8 weeks). During these sessions
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI