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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 hours ago
) | Computer Vision The Optics & Sensing Laboratory (OSLab) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze
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Classification Title: Vision Research - Assistant/Associate/Full Professor Job Description: The Department of Ophthalmology at the University of Florida invites applications from cutting edge
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Vision-Language-Action (VLA) models
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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, radiologists interpret scans such as CT, MRI, and X-ray together with textual information, including patient history, laboratory findings, and prior reports. Although recent Vision–Language Models (VLMs) can
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Deadline 9 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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). These disturbances are often intermittent and difficult to measure in clinics. Virtual Reality (VR) platforms may provide a new way of monitoring vision at home and may empower patients to provide much more accurate
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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are looking for an enthusiastic, self-motivated candidate with a 1st or high 2:1 degree in robotics, computer science, physics, mechanical engineering, electrical and electronic engineering or a related field
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher to apply statistical and computational approaches towards