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implement computer vision pipelines for crop monitoring, plant stress detection, and disease identification in greenhouse environments. Apply machine learning and deep learning models (semantic segmentation
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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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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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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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vision techniques. Additionally, the hired student will assist in corrosion/surface defect detection, object tracking of moving targets, and other machine learning based tasks. The computer vision team
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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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their field of view, guided by their gaze. The success of this project will be critically dependent on the contributions of a researcher with expertise in human and machine vision. Qualifications The ideal
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, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as well as contributing to curriculum development. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is
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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
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, computer vision, NLP, etc.) Work with structured and unstructured datasets; perform data preprocessing, analysis, and validation Collaborate with clinicians, scientists, engineers, and project teams